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Fuzzy information and engineering
| Fuzzy information and engineering |
| Pubbl/distr/stampa | Heidelberg : , : Springer : , : Fuzzy Information and Engineering Branch of the Operations Research Society of China |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Fuzzy systems
Intelligent control systems |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1616-8666 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910342960203321 |
| Heidelberg : , : Springer : , : Fuzzy Information and Engineering Branch of the Operations Research Society of China | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy information and engineering
| Fuzzy information and engineering |
| Pubbl/distr/stampa | Heidelberg : , : Springer : , : Fuzzy Information and Engineering Branch of the Operations Research Society of China |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Fuzzy systems
Intelligent control systems |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1616-8666 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996211537203316 |
| Heidelberg : , : Springer : , : Fuzzy Information and Engineering Branch of the Operations Research Society of China | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Fuzzy information processing 2020 : proceedings of the 2020 annual conference of the North American fuzzy information processing society, NAFIPS 2020. / / editors, Barnabás Bede [et al.]
| Fuzzy information processing 2020 : proceedings of the 2020 annual conference of the North American fuzzy information processing society, NAFIPS 2020. / / editors, Barnabás Bede [et al.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (450 pages) : illustrations (chiefly color) |
| Disciplina | 511.322 |
| Collana | Advances in intelligent systems and computing |
| Soggetto topico | Fuzzy systems |
| ISBN | 3-030-81561-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910523716303321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy Information Processing 2023 / / Kelly Cohen [and three others], editors
| Fuzzy Information Processing 2023 / / Kelly Cohen [and three others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (368 pages) |
| Disciplina | 003.7 |
| Collana | Lecture Notes in Networks and Systems Series |
| Soggetto topico | Fuzzy systems |
| ISBN | 3-031-46778-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Fuzzy Information Processing 2023 -- Contents -- Accurate and Explainable Retinal Disease Recognition via DCNFIS -- 1 Introduction -- 2 Background Review -- 2.1 Deep Learning and Fuzzy Systems -- 2.2 Deep Learning in Medical Diagnosis -- 3 Methodology -- 3.1 Dataset -- 3.2 Proposed Architecture -- 3.3 Experimental Setup -- 4 Performance Evaluation -- 5 Interpretability -- 6 Conclusion -- References -- Fuzzy Inference System-Based Collision Avoidance of Unmanned Aerial Vehicles Optimized Using Genetic Algorithm -- 1 Introduction -- 2 System Modelling -- 3 Proposed Method -- 3.1 Waypoint Follower -- 3.2 Collision Detection (CD) -- 3.3 CA Using FIS -- 3.4 FIS Optimization Using a GA -- 4 Simulation Results -- 5 Conclusion -- References -- Air Traffic Control Using Fuzzy Logic -- 1 Introduction -- 2 Literature Review -- 2.1 Air Traffic Control -- 2.2 Fuzzy Logic -- 3 Methodology -- 3.1 Simulation Setup -- 3.2 Defining Scenarios -- 3.3 Binary System -- 3.4 Fuzzy Inference System -- 4 Results and Discussion -- 5 Conclusion -- References -- Data Driven Level Set Fuzzy Classification -- 1 Introduction -- 2 Level Set Fuzzy Classifier -- 3 Data-Driven Level Set Fuzzy Classifier -- 4 Classifier Comparison -- 4.1 Data Sets and Decision Boundaries -- 4.2 Classification Accuracy -- 5 Conclusion -- References -- Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation -- 1 Introduction -- 1.1 What We Plan to Do -- 1.2 Fuzzy Systems: Brief Reminder -- 1.3 Neural Networks: Brief Reminder -- 2 Main Results -- 2.1 Equivalence Between TS Fuzzy Systems with Triangular Membership and Neural Networks with ReLU Activation -- 2.2 Experimental Results -- 2.3 Possible Extensions to Multiple Inputs and Multiple Layers -- 3 Conclusions and Further Research -- References.
Fuzzy Logic-Aided Inverse Kinematics Control for Redundant Manipulators -- 1 Introduction -- 2 Fuzzy Logic-Aided Inverse Kinematics (FLIK) Control -- 2.1 Description of Sub-tasks -- 2.2 Fuzzy Inference System (FIS) -- 3 Simulation Study -- 3.1 Description -- 3.2 Results -- 4 Conclusion -- References -- Interval Sequence: Choosing a Sequence of the Investment -- 1 Introduction -- 2 Preliminaries -- 3 Distances -- 4 Sequences -- 5 Application in Economics -- 6 Conclusion -- References -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- 1 Introduction -- 2 Methodology -- 2.1 Fuzzy Targeting -- 2.2 Aiming -- 2.3 Genetic Algorithm -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Calibration Error Estimation Using Fuzzy Binning -- 1 Introduction -- 2 Background -- 2.1 Neural Network Calibration -- 2.2 Expected Calibration Error -- 3 Fuzzy Calibration Error -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Developing System Requirements for Trustworthy AI Enabled Refueling Spacecraft -- 1 Introduction -- 2 Literature Review -- 2.1 Space Trusted Autonomy Readiness Levels -- 2.2 Sparse Requirements Systems Engineering -- 2.3 Model-Based Systems Engineering -- 2.4 Concept of Refueling Aerospace Vehicles -- 2.5 Trustworthy AI -- 3 Methodology -- 3.1 Systems Engineering -- 4 Results and Discussion -- 4.1 System Requirements -- 4.2 MBSE Models -- 5 Conclusion -- References -- Theoretical Explanation of Bernstein Polynomials' Efficiency -- 1 Formulation of the Problem -- 2 Optimal Functions Corresponding to Endpoints: Towards a Precise Description of the Problem -- 3 Optimal Functions Corresponding to Endpoints: Definitions and the Main Result -- 4 Optimal Combination Operations -- 5 Conclusions -- 6 Proofs -- References -- Forcing the Network to Use Human Explanations in Its Inference Process. 1 Introduction -- 2 Architecture -- 2.1 The ForcedNet -- 2.2 Design Considerations -- 3 Case Study -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Deep Learning ANFIS Architectures -- 1 Introduction -- 2 Deep Learning ANFIS Architectures -- 3 Function Approximation -- 3.1 ANFIS Setup and Training -- 3.2 Experimental Results -- 4 Deep Q-Learning with ANFIS Layers -- 5 Conclusion -- References -- Growth Kinetics of Gold Nanoparticles via P-Fuzzy Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Sets Theory -- 2.2 P-Fuzzy Systems -- 3 Growth Kinects of Gold Nanoparticle Formation -- 3.1 Results -- 4 Chemical Reaction of Gold Nanoparticles via P-Fuzzy System -- 5 Final Remarks -- References -- Optimization of Artificial Potential Field Using Genetic Algorithm for Human-Aware Navigation of Autonomous Mobile Robots -- 1 Introduction -- 2 Preliminaries -- 2.1 Path Planning -- 2.2 Kinematics -- 2.3 Human Aware Navigation (HAN) -- 2.4 Genetic Algorithm (GA) -- 3 Proposed Approach -- 3.1 HAN-APF -- 3.2 GA Optimization -- 4 Simulation Study -- 5 Conclusion -- References -- Numerical Solutions of Fuzzy Population Models: A Case Study for Chagas' Disease Dynamics -- 1 Introduction -- 2 Basic Notions -- 3 Fuzzy Population Models in S(A) -- 3.1 The -Runge-Kutta Method -- 3.2 Chagas' Disease Dynamics -- 4 Final Remarks -- References -- Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023 -- 1 Introduction -- 2 About ACM/IEEE/AAAI CS2023: Updates and Concentrations -- 3 Knowledge Areas Intersecting Fuzzy -- 4 Fuzzy Education: Beyond Knowledge Areas -- 5 Summary and Discussion -- References -- Associative Property of Interactive Addition for Intervals: Application in the Malthusian Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Sets Theory -- 3 J0.5-Joint Possibility Distribution. 4 Application in the Malthusian Model -- 4.1 Numerical Solution via Euler's Method -- 4.2 Numerical Solution via Runge-Kutta Method -- 5 Final Remarks -- References -- Genetic Fuzzy Passivity-Based Control Applied to a Robust Control Benchmark Problem -- 1 Introduction -- 1.1 Second-Order Systems -- 1.2 Passivity-Based Control -- 1.3 Robust Control Benchmark -- 1.4 Genetic Fuzzy Approach -- 2 Methodology -- 2.1 System Model -- 2.2 Performance Metrics -- 2.3 Genetic Training -- 3 Results and Discussion -- 4 Conclusions -- References -- Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship -- 1 Formulation of the Problem -- 2 Possible Application to Geosciences -- 3 Possible Application to Authorship -- References -- Comparison of Explanation Methods for Genetic Fuzzy Trees for Wine Quality Predictions -- 1 Introduction -- 2 GFT Creation and Initialization -- 2.1 GFT Structure -- 2.2 Explanation Methods -- 3 Supervised Learning Results -- 4 Explanations -- 4.1 Explanation for yt = 4 -- 4.2 Explanation for yt = 5 -- 4.3 Explanation for yt = 6 -- 4.4 Explanation for yt = 7 -- 5 Conclusion -- 5.1 Future Work -- References -- Review of a Fuzzy Logic Based Airport Passenger Flow Prediction System -- 1 Introduction -- 2 The System -- 3 Reflections on the Success of the Project -- References -- Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions -- 1 Introduction -- 2 Main Result -- 3 First Auxiliary Result -- 4 Second Auxiliary Result -- References -- On Truncating Fuzzy Numbers with -Levels -- 1 Introduction and Motivation -- 2 Basics on Fuzzy Numbers -- 3 A -Level Method for Truncating Fuzzy Numbers -- 4 Examples -- 4.1 Symmetric Examples -- 4.2 Asymmetric Examples -- 4.3 Computation of the Economic Order Quantity (EOQ) -- 5 Concluding Remarks -- References. A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- 1 Introduction -- 2 Satellite Mathematical Model -- 2.1 Kinematics -- 2.2 Dynamics -- 2.3 Temperature -- 3 Fuzzy Inference System -- 4 Optimization Problem -- 5 Results -- 6 Conclusion -- References -- Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology -- 1 Formulation of the Problem -- 2 What is Causality: A Brief Reminder and the Need to Distinguish Between Two Aspects of Causality -- 3 How Causality is Usually Described - and What is Missing in this Usual Description -- 4 How to Take into Account that We May Need Several Events to Cause the Observed Phenomenon -- 5 How to Take into Account that Causality is a Matter of Degree -- References -- Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty -- 1 Formulation of the Problem -- 2 Our Result -- 3 Discussion -- References -- Formal Descriptive Modeling for Self-verification of Fuzzy Network Systems -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Safety-Critical System Implementation -- 5 Conclusions -- References -- How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance -- 1 Formulation of the Problem -- 2 Our Explanation -- References -- Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory -- 1 Formulation of the Problem -- 2 Decision Making: A Brief Reminder -- 3 Resulting General Principles of Decision Making -- 4 The General Principles of Decision Making Are, in Effect, Exactly the Three Principles of the US Air Force -- References -- Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value -- 1 Formulation of the Problem. 2 Discussion and the Resulting Conclusion. |
| Record Nr. | UNINA-9910768180803321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy information retrieval / / Donald H. Kraft, Erin Colvin
| Fuzzy information retrieval / / Donald H. Kraft, Erin Colvin |
| Autore | Kraft Donald H. |
| Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
| Descrizione fisica | 1 online resource (83 pages) : illustrations |
| Disciplina | 511.322 |
| Collana | Synthesis lectures on information concepts, retrieval, and services |
| Soggetto topico |
Fuzzy systems
Information retrieval - Automation |
| Soggetto non controllato |
information retrieval system (IRS)
recall precision relevance retrieval status value (RSV) ranking function best match models (BM1) relevance feedback mean average precision (MAP) TF-IDF vector space model probabilistic model Boolean model |
| ISBN | 1-62705-956-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
1. Introduction to information retrieval -- 1.1 Defining information retrieval -- 1.1.1 Retrieval metric -- 1.2 A bit of IR history -- 1.3 The key notion of relevance -- 1.4 Some interesting applications of information retrieval -- 1.5 Where the fuzz is --
2. Modeling -- 2.1 Boolean model -- 2.1.1 Deficiencies with Boolean logic -- 2.2 Vector space model -- 2.3 Probability model -- 2.3.1 Language models -- 2.3.2 Alternative probabilistic best match models -- 2.4 Modern concepts of IR -- 2.5 Fuzzy logic and sets -- 2.6 Membership functions -- 2.6.1 Intuition -- 2.6.2 Inference -- 2.6.3 Rank ordering -- 2.6.4 Neural networks -- 2.6.5 Genetic algorithms -- 2.6.6 Inductive reasoning -- 2.6.7 Aggregation -- 2.7 Extended boolean in IR -- 2.8 Fuzzy evaluation metrics -- 2.8.1 Map -- 2.9 Discounted cumulative gain -- 2.10 Summary -- 3. Source of weights -- 3.1 Indexing -- 3.1.1 TF-IDF -- 3.2 Variants -- 3.2.1 Document length normalization -- 3.3 Querying -- 3.4 Summary -- 4. Relevance feedback and query expansion -- 4.1 Defining relevance feedback -- 4.2 Pseudo-relevant feedback -- 4.3 Relevance feedback with the vector space model -- 4.4 Relevance feedback with the probability model -- 4.5 Relevance feedback with the boolean and fuzzy boolean models -- 4.5.1 Genetic algorithms (programming) for Boolean relevance feedback -- 4.6 Query expansion -- 4.6.1 Adding or changing terms -- 4.7 Fuzzy and rough sets for data mining of a controlled vocabulary -- 4.7.1 Fuzzy set notation for rough sets -- 4.8 Extensions of the rough set approach to retrieval -- 4.8.1 Rough fuzzy sets -- 4.8.2 Fuzzy rough sets -- 4.8.3 Generalized fuzzy and rough sets -- 4.8.4 Nonequivalence relationships -- 4.8.5 Combining several relationships simultaneously -- 5. Clustering for retrieval -- 5.1 Introduction -- 5.2 Applications -- 5.3 Clustering algorithms -- 5.4 Similarity measures -- 5.5 Fuzzy clustering -- 5.6 The fuzzy C-means algorithm -- 5.7 A testing example -- 5.7.1 Fuzzy rule discovery -- 6. Uses of information retrieval today -- Bibliography -- Author biographies. |
| Record Nr. | UNINA-9910163287003321 |
Kraft Donald H.
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| [San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore]
| Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] |
| Descrizione fisica | 1 online resource (496 pages) |
| Disciplina | 511.313 |
| Collana | Artificial Intelligence and Soft Computing for Industrial Transformation Ser. |
| Soggetto topico | Fuzzy systems |
| ISBN |
1-119-76342-8
1-119-76343-6 1-119-76341-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Fuzzy Fractals in Cervical Cancer -- 1.1 Introduction -- 1.1.1 Fuzzy Mathematics -- 1.1.2 Fractals -- 1.1.3 Fuzzy Fractals -- 1.1.4 Cervical Cancer -- 1.2 Methods -- 1.2.1 Fuzzy Method -- 1.2.2 Sausage Method -- 1.3 Maximum Modulus Theorem -- 1.4 Results -- 1.4.1 Fuzzy Method -- 1.4.2 Sausage Method -- 1.5 Conclusion -- References -- 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network -- 2.1 Introduction -- 2.2 Related Works -- 2.3 Proposed Methodology -- 2.3.1 Students Emotion Recognition Towards the Class -- 2.3.2 Eye Gaze-Based Student Engagement Recognition -- 2.3.3 Facial Head Movement-Based Student Engagement Recognition -- 2.4 Experimental Results -- 2.4.1 Convolutional Layer -- 2.4.2 ReLU Layer -- 2.4.3 Pooling Layer -- 2.4.4 Fully Connected Layer -- 2.5 Conclusions -- References -- 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5-Part III -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Definition -- 3.4 Notations -- 3.5 Main Results -- 3.6 Conclusion -- References -- 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm -- 4.1 Introduction -- 4.1.1 Classical Optimization Techniques -- 4.1.2 The Bio-Inspired Techniques Centered on Optimization -- 4.2 Multiple Criteria That is Used for Decision Making (MCDM) -- 4.2.1 WSM Method -- 4.2.2 WPM Method -- 4.2.3 Analytic Hierarchy Process (AHP) -- 4.2.4 TOPSIS -- 4.2.5 VIKOR -- 4.3 Conclusion -- References -- 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 5.1 Introduction -- 5.2 Main Result -- 5.3 Conclusion -- References -- 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 6.1 Introduction -- 6.2 Main Result -- 6.3 Conclusion -- References.
7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems -- 7.1 Introduction -- 7.1.1 Integration of Evolutionary Algorithms and Fuzzy Logic -- 7.1.2 Fuzzy Logic-Aided Evolutionary Algorithm -- 7.1.3 Adaptive Genetic Algorithm That Adapt Manage Criteria -- 7.1.4 Genetic Algorithm With Fuzzified Genetic Operators -- 7.1.5 Genetic Fuzzy Systems -- 7.1.6 Genetic Learning Process -- 7.2 Existing Technology and its Review -- 7.2.1 Techniques for Rule-Based Understanding with Genetic Algorithm -- 7.2.2 Strategy A: GA Primarily Based Optimization for Computerized Built FLC -- 7.2.3 Strategy B: GA Based Optimization of Manually Created FLC -- 7.2.4 Methods of Hybridization for GFS -- 7.3 Research Design -- 7.3.1 The Ceaseless Rule Learning Approach (CRL) -- 7.3.2 Multistage Processes of Ceaseless Rule Learning -- 7.3.3 Other Approaches of Genetic Rule Learning -- 7.4 Findings or Result Discussion so for in the Area -- 7.5 Conclusion -- References -- 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Logic System for Fuzzy -- 8.4 Proposed Algorithm -- 8.4.1 Architecture of System -- 8.4.2 Terminology of Model -- 8.4.3 Algorithm Proposed -- 8.4.4 Explanations of Proposed Algorithm -- 8.5 Results of Simulation -- 8.5.1 Cloud System Numerical Model -- 8.5.2 Evaluation Terms Definition -- 8.5.3 Environment Configurations Simulation -- 8.5.4 Outcomes of Simulation -- 8.6 Conclusion -- References -- 9 Theorems on Fuzzy Soft Metric Spaces -- 9.1 Introduction -- 9.2 Preliminaries -- 9.3 FSMS -- 9.4 Main Results -- 9.5 Fuzzy Soft ᾶ - ψ - Contractive Type Mappings and ᾶ - Admissible Mappings -- References -- 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi-Sugeno Fuzzy System -- 10.1 Introduction. 10.2 Statement of the Problem and Notions -- 10.3 Main Result -- 10.4 Numerical Illustration -- 10.5 Conclusion -- References -- 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problems by Hungarian Method: A New Approach -- 11.1 Introduction -- 11.2 Preliminary -- 11.2.1 Definition -- 11.2.2 Some Arithmetic Operations of Trapezoidal Fuzzy Number -- 11.3 Theoretical Part -- 11.3.1 Mathematical Formulation of an Assignment Problem -- 11.3.2 Method for Solving an Assignment Problem -- 11.3.3 Computational Processor of Hungarian Method (For Minimization Problem) -- 11.4 Application With Discussion -- 11.5 Conclusion and Further Work -- References -- 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph -- 12.1 Introduction -- 12.2 Definitions -- 12.3 An Algorithm to Find the Super Resolving Matrix -- 12.3.1 An Application on Resolving Matrix -- 12.3.2 An Algorithm to Find the Fuzzy Connectedness Matrix -- 12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident -- 12.4.1 Algorithm to Find the Safest and Shortest Path Between Two Landmarks -- 12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph -- 12.5.1 An Algorithm to Find the Resolving Set of a Fuzzy Digraph -- 12.6 Conclusion -- References -- 13 A Note on Fuzzy Edge Magic Total Labeling Graphs -- 13.1 Introduction -- 13.2 Preliminaries -- 13.3 Theorem -- 13.3.1 Example -- 13.4 Theorem -- 13.4.1 Example -- 13.5 Theorem -- 13.5.1 Example as Shown in Figure 13.5 Star Graph S(1,9) is FEMT Labeling -- 13.6 Theorem -- 13.7 Theorem -- 13.7.1 Example -- 13.8 Theorem -- 13.9 Theorem -- 13.10 Application of Fuzzy Edge Magic Total Labeling -- 13.11 Conclusion -- References -- 14 The Synchronization of Impulsive TimeDelay Chaotic Systems with Uncertainties in Terms of Takagi-Sugeno Fuzzy System. 14.1 Introduction -- 14.2 Problem Description and Preliminaries -- 14.2.1 Impulsive Differential Equations -- 14.3 The T-S Fuzzy Model -- 14.4 Designing of Fuzzy Impulsive Controllers -- 14.5 Main Result -- 14.6 Numerical Example -- 14.7 Conclusion -- References -- 15 Theorems on Soft Fuzzy Metric Spaces by Using Control Function -- 15.1 Introduction -- 15.2 Preliminaries and Definition -- 15.3 Main Results -- 15.4 Conclusion -- References -- 16 On Soft a(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.1 Introduction -- 16.2 Preliminaries -- 16.2.1 Outline -- 16.2.2 Soft αγ-Open Set -- 16.2.3 Soft αγ Ti Spaces -- 16.2.4 Soft (αγ, ßs)-Continuous Functions -- 16.3 Soft α(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.3.1 Outline -- 16.3.2 Soft α(γ,ß)-Continuous Functions -- 16.3.3 Soft α(γ,ß)-Open Functions -- 16.3.4 Soft α(γ,ß)-Closed Functions -- 16.3.5 Soft α(γ,ß)-Homeomorphism -- 16.3.6 Soft (α., ßs)-Contra Continuous Functions -- 16.3.7 Soft α(γ,ß)-Contra Continuous Functions -- 16.4 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910554833603321 |
| Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore]
| Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] |
| Descrizione fisica | 1 online resource (496 pages) |
| Disciplina | 511.313 |
| Collana | Artificial Intelligence and Soft Computing for Industrial Transformation |
| Soggetto topico | Fuzzy systems |
| Soggetto non controllato | Mathematics |
| ISBN |
1-119-76342-8
1-119-76343-6 1-119-76341-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Fuzzy Fractals in Cervical Cancer -- 1.1 Introduction -- 1.1.1 Fuzzy Mathematics -- 1.1.2 Fractals -- 1.1.3 Fuzzy Fractals -- 1.1.4 Cervical Cancer -- 1.2 Methods -- 1.2.1 Fuzzy Method -- 1.2.2 Sausage Method -- 1.3 Maximum Modulus Theorem -- 1.4 Results -- 1.4.1 Fuzzy Method -- 1.4.2 Sausage Method -- 1.5 Conclusion -- References -- 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network -- 2.1 Introduction -- 2.2 Related Works -- 2.3 Proposed Methodology -- 2.3.1 Students Emotion Recognition Towards the Class -- 2.3.2 Eye Gaze-Based Student Engagement Recognition -- 2.3.3 Facial Head Movement-Based Student Engagement Recognition -- 2.4 Experimental Results -- 2.4.1 Convolutional Layer -- 2.4.2 ReLU Layer -- 2.4.3 Pooling Layer -- 2.4.4 Fully Connected Layer -- 2.5 Conclusions -- References -- 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5-Part III -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Definition -- 3.4 Notations -- 3.5 Main Results -- 3.6 Conclusion -- References -- 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm -- 4.1 Introduction -- 4.1.1 Classical Optimization Techniques -- 4.1.2 The Bio-Inspired Techniques Centered on Optimization -- 4.2 Multiple Criteria That is Used for Decision Making (MCDM) -- 4.2.1 WSM Method -- 4.2.2 WPM Method -- 4.2.3 Analytic Hierarchy Process (AHP) -- 4.2.4 TOPSIS -- 4.2.5 VIKOR -- 4.3 Conclusion -- References -- 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 5.1 Introduction -- 5.2 Main Result -- 5.3 Conclusion -- References -- 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 6.1 Introduction -- 6.2 Main Result -- 6.3 Conclusion -- References.
7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems -- 7.1 Introduction -- 7.1.1 Integration of Evolutionary Algorithms and Fuzzy Logic -- 7.1.2 Fuzzy Logic-Aided Evolutionary Algorithm -- 7.1.3 Adaptive Genetic Algorithm That Adapt Manage Criteria -- 7.1.4 Genetic Algorithm With Fuzzified Genetic Operators -- 7.1.5 Genetic Fuzzy Systems -- 7.1.6 Genetic Learning Process -- 7.2 Existing Technology and its Review -- 7.2.1 Techniques for Rule-Based Understanding with Genetic Algorithm -- 7.2.2 Strategy A: GA Primarily Based Optimization for Computerized Built FLC -- 7.2.3 Strategy B: GA Based Optimization of Manually Created FLC -- 7.2.4 Methods of Hybridization for GFS -- 7.3 Research Design -- 7.3.1 The Ceaseless Rule Learning Approach (CRL) -- 7.3.2 Multistage Processes of Ceaseless Rule Learning -- 7.3.3 Other Approaches of Genetic Rule Learning -- 7.4 Findings or Result Discussion so for in the Area -- 7.5 Conclusion -- References -- 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Logic System for Fuzzy -- 8.4 Proposed Algorithm -- 8.4.1 Architecture of System -- 8.4.2 Terminology of Model -- 8.4.3 Algorithm Proposed -- 8.4.4 Explanations of Proposed Algorithm -- 8.5 Results of Simulation -- 8.5.1 Cloud System Numerical Model -- 8.5.2 Evaluation Terms Definition -- 8.5.3 Environment Configurations Simulation -- 8.5.4 Outcomes of Simulation -- 8.6 Conclusion -- References -- 9 Theorems on Fuzzy Soft Metric Spaces -- 9.1 Introduction -- 9.2 Preliminaries -- 9.3 FSMS -- 9.4 Main Results -- 9.5 Fuzzy Soft ᾶ - ψ - Contractive Type Mappings and ᾶ - Admissible Mappings -- References -- 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi-Sugeno Fuzzy System -- 10.1 Introduction. 10.2 Statement of the Problem and Notions -- 10.3 Main Result -- 10.4 Numerical Illustration -- 10.5 Conclusion -- References -- 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problems by Hungarian Method: A New Approach -- 11.1 Introduction -- 11.2 Preliminary -- 11.2.1 Definition -- 11.2.2 Some Arithmetic Operations of Trapezoidal Fuzzy Number -- 11.3 Theoretical Part -- 11.3.1 Mathematical Formulation of an Assignment Problem -- 11.3.2 Method for Solving an Assignment Problem -- 11.3.3 Computational Processor of Hungarian Method (For Minimization Problem) -- 11.4 Application With Discussion -- 11.5 Conclusion and Further Work -- References -- 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph -- 12.1 Introduction -- 12.2 Definitions -- 12.3 An Algorithm to Find the Super Resolving Matrix -- 12.3.1 An Application on Resolving Matrix -- 12.3.2 An Algorithm to Find the Fuzzy Connectedness Matrix -- 12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident -- 12.4.1 Algorithm to Find the Safest and Shortest Path Between Two Landmarks -- 12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph -- 12.5.1 An Algorithm to Find the Resolving Set of a Fuzzy Digraph -- 12.6 Conclusion -- References -- 13 A Note on Fuzzy Edge Magic Total Labeling Graphs -- 13.1 Introduction -- 13.2 Preliminaries -- 13.3 Theorem -- 13.3.1 Example -- 13.4 Theorem -- 13.4.1 Example -- 13.5 Theorem -- 13.5.1 Example as Shown in Figure 13.5 Star Graph S(1,9) is FEMT Labeling -- 13.6 Theorem -- 13.7 Theorem -- 13.7.1 Example -- 13.8 Theorem -- 13.9 Theorem -- 13.10 Application of Fuzzy Edge Magic Total Labeling -- 13.11 Conclusion -- References -- 14 The Synchronization of Impulsive TimeDelay Chaotic Systems with Uncertainties in Terms of Takagi-Sugeno Fuzzy System. 14.1 Introduction -- 14.2 Problem Description and Preliminaries -- 14.2.1 Impulsive Differential Equations -- 14.3 The T-S Fuzzy Model -- 14.4 Designing of Fuzzy Impulsive Controllers -- 14.5 Main Result -- 14.6 Numerical Example -- 14.7 Conclusion -- References -- 15 Theorems on Soft Fuzzy Metric Spaces by Using Control Function -- 15.1 Introduction -- 15.2 Preliminaries and Definition -- 15.3 Main Results -- 15.4 Conclusion -- References -- 16 On Soft a(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.1 Introduction -- 16.2 Preliminaries -- 16.2.1 Outline -- 16.2.2 Soft αγ-Open Set -- 16.2.3 Soft αγ Ti Spaces -- 16.2.4 Soft (αγ, ßs)-Continuous Functions -- 16.3 Soft α(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.3.1 Outline -- 16.3.2 Soft α(γ,ß)-Continuous Functions -- 16.3.3 Soft α(γ,ß)-Open Functions -- 16.3.4 Soft α(γ,ß)-Closed Functions -- 16.3.5 Soft α(γ,ß)-Homeomorphism -- 16.3.6 Soft (α., ßs)-Contra Continuous Functions -- 16.3.7 Soft α(γ,ß)-Contra Continuous Functions -- 16.4 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910678085803321 |
| Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore]
| Fuzzy intelligent systems : methodologies, techniques, and applications / / edited by E. Chandrasekaran [and four othersmore] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] |
| Descrizione fisica | 1 online resource (496 pages) |
| Disciplina | 511.313 |
| Collana | Artificial Intelligence and Soft Computing for Industrial Transformation |
| Soggetto topico | Fuzzy systems |
| Soggetto non controllato | Mathematics |
| ISBN |
1-119-76342-8
1-119-76343-6 1-119-76341-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Fuzzy Fractals in Cervical Cancer -- 1.1 Introduction -- 1.1.1 Fuzzy Mathematics -- 1.1.2 Fractals -- 1.1.3 Fuzzy Fractals -- 1.1.4 Cervical Cancer -- 1.2 Methods -- 1.2.1 Fuzzy Method -- 1.2.2 Sausage Method -- 1.3 Maximum Modulus Theorem -- 1.4 Results -- 1.4.1 Fuzzy Method -- 1.4.2 Sausage Method -- 1.5 Conclusion -- References -- 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network -- 2.1 Introduction -- 2.2 Related Works -- 2.3 Proposed Methodology -- 2.3.1 Students Emotion Recognition Towards the Class -- 2.3.2 Eye Gaze-Based Student Engagement Recognition -- 2.3.3 Facial Head Movement-Based Student Engagement Recognition -- 2.4 Experimental Results -- 2.4.1 Convolutional Layer -- 2.4.2 ReLU Layer -- 2.4.3 Pooling Layer -- 2.4.4 Fully Connected Layer -- 2.5 Conclusions -- References -- 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5-Part III -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Definition -- 3.4 Notations -- 3.5 Main Results -- 3.6 Conclusion -- References -- 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm -- 4.1 Introduction -- 4.1.1 Classical Optimization Techniques -- 4.1.2 The Bio-Inspired Techniques Centered on Optimization -- 4.2 Multiple Criteria That is Used for Decision Making (MCDM) -- 4.2.1 WSM Method -- 4.2.2 WPM Method -- 4.2.3 Analytic Hierarchy Process (AHP) -- 4.2.4 TOPSIS -- 4.2.5 VIKOR -- 4.3 Conclusion -- References -- 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 5.1 Introduction -- 5.2 Main Result -- 5.3 Conclusion -- References -- 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5 -- 6.1 Introduction -- 6.2 Main Result -- 6.3 Conclusion -- References.
7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems -- 7.1 Introduction -- 7.1.1 Integration of Evolutionary Algorithms and Fuzzy Logic -- 7.1.2 Fuzzy Logic-Aided Evolutionary Algorithm -- 7.1.3 Adaptive Genetic Algorithm That Adapt Manage Criteria -- 7.1.4 Genetic Algorithm With Fuzzified Genetic Operators -- 7.1.5 Genetic Fuzzy Systems -- 7.1.6 Genetic Learning Process -- 7.2 Existing Technology and its Review -- 7.2.1 Techniques for Rule-Based Understanding with Genetic Algorithm -- 7.2.2 Strategy A: GA Primarily Based Optimization for Computerized Built FLC -- 7.2.3 Strategy B: GA Based Optimization of Manually Created FLC -- 7.2.4 Methods of Hybridization for GFS -- 7.3 Research Design -- 7.3.1 The Ceaseless Rule Learning Approach (CRL) -- 7.3.2 Multistage Processes of Ceaseless Rule Learning -- 7.3.3 Other Approaches of Genetic Rule Learning -- 7.4 Findings or Result Discussion so for in the Area -- 7.5 Conclusion -- References -- 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Logic System for Fuzzy -- 8.4 Proposed Algorithm -- 8.4.1 Architecture of System -- 8.4.2 Terminology of Model -- 8.4.3 Algorithm Proposed -- 8.4.4 Explanations of Proposed Algorithm -- 8.5 Results of Simulation -- 8.5.1 Cloud System Numerical Model -- 8.5.2 Evaluation Terms Definition -- 8.5.3 Environment Configurations Simulation -- 8.5.4 Outcomes of Simulation -- 8.6 Conclusion -- References -- 9 Theorems on Fuzzy Soft Metric Spaces -- 9.1 Introduction -- 9.2 Preliminaries -- 9.3 FSMS -- 9.4 Main Results -- 9.5 Fuzzy Soft ᾶ - ψ - Contractive Type Mappings and ᾶ - Admissible Mappings -- References -- 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi-Sugeno Fuzzy System -- 10.1 Introduction. 10.2 Statement of the Problem and Notions -- 10.3 Main Result -- 10.4 Numerical Illustration -- 10.5 Conclusion -- References -- 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problems by Hungarian Method: A New Approach -- 11.1 Introduction -- 11.2 Preliminary -- 11.2.1 Definition -- 11.2.2 Some Arithmetic Operations of Trapezoidal Fuzzy Number -- 11.3 Theoretical Part -- 11.3.1 Mathematical Formulation of an Assignment Problem -- 11.3.2 Method for Solving an Assignment Problem -- 11.3.3 Computational Processor of Hungarian Method (For Minimization Problem) -- 11.4 Application With Discussion -- 11.5 Conclusion and Further Work -- References -- 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph -- 12.1 Introduction -- 12.2 Definitions -- 12.3 An Algorithm to Find the Super Resolving Matrix -- 12.3.1 An Application on Resolving Matrix -- 12.3.2 An Algorithm to Find the Fuzzy Connectedness Matrix -- 12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident -- 12.4.1 Algorithm to Find the Safest and Shortest Path Between Two Landmarks -- 12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph -- 12.5.1 An Algorithm to Find the Resolving Set of a Fuzzy Digraph -- 12.6 Conclusion -- References -- 13 A Note on Fuzzy Edge Magic Total Labeling Graphs -- 13.1 Introduction -- 13.2 Preliminaries -- 13.3 Theorem -- 13.3.1 Example -- 13.4 Theorem -- 13.4.1 Example -- 13.5 Theorem -- 13.5.1 Example as Shown in Figure 13.5 Star Graph S(1,9) is FEMT Labeling -- 13.6 Theorem -- 13.7 Theorem -- 13.7.1 Example -- 13.8 Theorem -- 13.9 Theorem -- 13.10 Application of Fuzzy Edge Magic Total Labeling -- 13.11 Conclusion -- References -- 14 The Synchronization of Impulsive TimeDelay Chaotic Systems with Uncertainties in Terms of Takagi-Sugeno Fuzzy System. 14.1 Introduction -- 14.2 Problem Description and Preliminaries -- 14.2.1 Impulsive Differential Equations -- 14.3 The T-S Fuzzy Model -- 14.4 Designing of Fuzzy Impulsive Controllers -- 14.5 Main Result -- 14.6 Numerical Example -- 14.7 Conclusion -- References -- 15 Theorems on Soft Fuzzy Metric Spaces by Using Control Function -- 15.1 Introduction -- 15.2 Preliminaries and Definition -- 15.3 Main Results -- 15.4 Conclusion -- References -- 16 On Soft a(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.1 Introduction -- 16.2 Preliminaries -- 16.2.1 Outline -- 16.2.2 Soft αγ-Open Set -- 16.2.3 Soft αγ Ti Spaces -- 16.2.4 Soft (αγ, ßs)-Continuous Functions -- 16.3 Soft α(γ,ß)-Continuous Functions in Soft Topological Spaces -- 16.3.1 Outline -- 16.3.2 Soft α(γ,ß)-Continuous Functions -- 16.3.3 Soft α(γ,ß)-Open Functions -- 16.3.4 Soft α(γ,ß)-Closed Functions -- 16.3.5 Soft α(γ,ß)-Homeomorphism -- 16.3.6 Soft (α., ßs)-Contra Continuous Functions -- 16.3.7 Soft α(γ,ß)-Contra Continuous Functions -- 16.4 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910811118003321 |
| Hoboken, New Jersey : , : Scrivener Publishing LLC, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy logic applications in computer science and mathematics / / edited by Rahul Kar [and four others]
| Fuzzy logic applications in computer science and mathematics / / edited by Rahul Kar [and four others] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 510 |
| Soggetto topico |
Fuzzy mathematics
Fuzzy systems System analysis |
| ISBN |
1-394-17513-2
1-394-17512-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Decision Making Using Fuzzy Logic Using Multicriteria -- 1.1 Introduction -- 1.2 Fuzzy Logic -- 1.3 Decision Making -- 1.4 Literature Review -- 1.5 Conclusion -- Acknowledgment -- References -- Chapter 2 Application of Fuzzy Logic in the Context of Risk Management -- 2.1 Introduction -- 2.2 Objectives of Risk Management -- 2.3 Improved Risk Estimation -- 2.3.1 Point-Wise Calculations on a Curve -- 2.3.2 Estimation of a Curve -- 2.3.3 Accuracy in Quantification is Raised -- 2.3.4 The Problems with the Basic Quantification Approach -- 2.4 Threat at Quantification Matrix -- 2.4.1 Qualitative Matrix -- 2.4.2 Errors in Scaling -- 2.4.3 Band Width at Various Scales -- 2.5 Fundamental Definitions -- 2.5.1 Positioning Statement -- 2.5.2 Risk Under the Level of Tolerance -- 2.5.3 Risk Elimination -- 2.6 Fuzzy Logic -- 2.7 Risk Related to Fuzzy Matrix -- 2.8 Conclusion -- Bibliography -- Chapter 3 Use of Fuzzy Logic for Controlling Greenhouse Environment: A Study Through the Lens of Web Monitoring -- 3.1 Introduction -- 3.2 Design (Hardware) -- 3.2.1 Sensor for Measuring Soil Moisture -- 3.2.2 Sensor for Measuring Humidity and Temperature -- 3.3 Programming Arduino Mega Board -- 3.3.1 Fuzzification -- 3.3.2 Fuzzy Inference -- 3.3.3 Communication via Remote Connections and a Web Server -- 3.4 Implementation of a Prototype -- 3.5 Results -- 3.6 Conclusion -- Bibliography -- Chapter 4 Fuzzy Logics and Marketing Decisions -- 4.1 Introduction -- 4.2 Literature -- 4.2.1 Fuzzy Logic (FL) -- 4.2.2 FL Application in Marketing -- 4.2.2.1 Communication and Advertising -- 4.2.2.2 Customer Service and Satisfaction -- 4.2.2.3 Customer Segmentation -- 4.2.2.4 CRM -- 4.2.2.5 Pricing -- 4.2.2.6 Evaluation of a Product -- 4.2.2.7 Uncertainty in the Development of New Products.
4.2.2.8 Decision Making -- 4.2.2.9 Consumer Nation Identity (CNI) -- 4.2.2.10 Quality of Service -- 4.3 Conclusion -- 4.4 Further Studies -- References -- Chapter 5 A Method for Ranking Fuzzy Numbers Based on Their Value, Ambiguity, Fuzziness, and Vagueness -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 Definitions and Concepts -- 5.3 The Designed Method -- 5.4 Validate the Reasonableness of the Suggested Ranking Algorithm -- 5.5 Comparative Analysis and Numerical Examples -- 5.6 Application -- 5.7 Conclusions -- References -- Chapter 6 Evacuation of Attributes to Translucent TNSET in Mathematics Using Rough Topology -- 6.1 Introduction -- 6.2 Basic Concepts of Rough Topology -- 6.2.1 Conditional Attribute -- 6.2.2 Decision Attribute -- 6.2.3 Rough Topology -- 6.2.4 Lower Approximation -- 6.2.5 Upper Approximation -- 6.2.6 Boundary Region -- 6.2.7 Basis -- 6.2.8 Information System -- 6.2.9 Core -- 6.3 Algorithm -- 6.4 Information System -- 6.5 Working Procedure -- 6.6 Conclusion -- References -- Chapter 7 Design of Type-2 Fuzzy Controller for Hybrid Multi-Area Power System -- 7.1 Introduction -- 7.2 Plant Model -- 7.3 Controller Design -- 7.3.1 Proportional Integral Derivative (PID) Controller -- 7.3.2 Fractional Order Proportional Integral Derivative (FOPID) Controller -- 7.3.3 Type-2-Fuzzy Logic -- 7.4 Levenberg-Marquardt Algorithm -- 7.5 Optimization of Controller Parameters Using CASO Algorithm -- 7.6 Result and Analysis -- 7.6.1 Without Disturbances -- 7.6.2 With Disturbances -- 7.7 Conclusion -- Appendix -- References -- Chapter 8 Alzheimer's Detection and Classification Using Fine-Tuned Convolutional Neural Network -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Methodology -- 8.3.1 Dataset -- 8.3.2 Pre-Processing -- 8.4 Implementation and Results -- 8.5 Conclusion -- References. Chapter 9 Design of Fuzzy Logic-Based Smart Cars Using Scilab -- 9.1 Introduction -- 9.2 Literature Survey -- 9.2.1 Fuzzy Logic for Automobile Industry -- 9.2.2 Fuzzy Logic for Smart Cars -- 9.2.3 Fuzzy Logic for Driver Behavior Detection -- 9.2.4 Fuzzy Logic Applications for Common Industry -- 9.3 Proposed Fuzzy Inference System for Smart Cars -- 9.3.1 Fuzzification -- 9.3.2 Membership Functions -- 9.3.3 Rule Base -- 9.3.4 Example Rules -- 9.3.5 Defuzzification -- 9.4 Implementation Details and Results -- 9.5 Conclusion and Future Work -- References -- Chapter 10 Financial Planning and Decision Making for Students Using Fuzzy Logic -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 System Architecture -- 10.3.1 Input -- 10.3.2 Fuzzification -- 10.3.3 Membership Function -- 10.3.3.1 Necessity -- 10.3.3.2 Cost Percentage -- 10.3.3.3 Quality -- 10.3.4 Fuzzy Rule Base -- 10.3.5 Fuzzy Output -- 10.3.6 Defuzzification -- 10.4 Conclusion and Future Scope -- References -- Chapter 11 A Novel Fuzzy Logic (FL) Algorithm for the Automatic Detection of Oral Cancer -- 11.1 Introduction -- 11.1.1 Significance of Pre-Processing -- 11.2 Image Enhancement -- 11.3 Gabor Transform -- 11.4 Image Transformation -- 11.5 Adaptive Networks: Architecture -- 11.5.1 Classification of Images -- 11.6 Results and Discussions -- 11.7 Conclusion -- Bibliography -- Chapter 12 A Study on Decision Making of Difficulties Faced by Indian Workers Abroad by Using Rough Topology -- 12.1 Introduction -- 12.1.1 Problems Faced by the Indian Workers -- 12.2 Fundamental Idea of Rough Topology -- 12.2.1 Conditional Attribute -- 12.2.2 Decision Attribute -- 12.2.3 Rough Topology -- 12.2.4 Lower Approximation -- 12.2.5 Upper Approximation -- 12.2.6 Boundary Region -- 12.2.7 Basis -- 12.2.8 Information System -- 12.2.9 Core -- 12.3 Algorithm -- 12.4 Information System -- 12.5 Working Procedure. 12.6 Conclusion -- References -- Chapter 13 Case Study on Fuzzy Logic: Fuzzy Logic-Based PID Controller to Tune the DC Motor Speed -- 13.1 Introduction -- 13.1.1 DC Motor -- 13.1.2 DC Motor Speed Control Methods -- 13.1.2.1 PID Controller -- 13.1.2.2 Fuzzy-Based PID Controller -- 13.1.2.3 Micro Controller-Based PID Controller -- 13.1.2.4 Genetic Algorithm-Based PID Controller -- 13.2 Literature Review -- 13.2.1 Common Findings -- 13.2.2 Comparative Analysis of Research Works Reviewed -- 13.2.3 Strengths in the Literature Reviewed -- 13.2.4 Weaknesses in the Literature Reviewed -- 13.2.5 Findings in the Literature Reviewed -- 13.3 Design of Fuzzy-Based PID Controller -- 13.3.1 Fuzzy Controller -- 13.3.2 Flowchart for Fuzzy Controller -- 13.3.3 Fuzzy Logic Controller Membership Function and FAM Table -- 13.3.4 Rules for the Fuzzy Controller -- 13.3.5 Simulation Diagram of FLC -- 13.3.6 Fuzzy-Based PID Controller -- 13.3.6.1 Fuzzy Block Design -- 13.3.6.2 Flowchart for Fuzzy-PID Controller -- 13.3.6.3 Simulation Diagram of Fuzzy-PID Controller -- 13.4 Experimental Work and Results Analysis -- 13.5 Conclusion and Future Scope -- References -- Chapter 14 Application of Intuitionistic Fuzzy Network Using Efficient Domination -- 14.1 Introduction -- 14.2 Efficient Domination in Intuitionistic Fuzzy Graph (IFG) -- 14.3 Main Frame Work -- 14.3.1 Construction of IFN from Sub IFN -- 14.4 Secret Key -- 14.4.1 Encryption Algorithm -- 14.4.2 Decryption Algorithm -- 14.5 Illustration -- 14.5.1 Construction of IFN from Sub IFN -- 14.5.2 Secret Key -- 14.5.3 Encryption Algorithm -- 14.5.4 Decryption Algorithm -- 14.6 Conclusion -- References -- Chapter 15 Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps -- 15.1 Introduction -- 15.2 Parameters of Malaria -- 15.3 Fuzzy Cognitive Map. 15.3.1 Matrix Representation of FCM -- 15.4 Neutrosophic Cognitive Map -- 15.4.1 Matrix Representation of NCM -- 15.5 Comparison and Discussion -- 15.6 Conclusion -- References -- Chapter 16 Applications of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Analysis of Dengue Fever -- 16.1 Introduction -- 16.2 Parameters of Dengue -- 16.3 Fuzzy Cognitive Maps -- 16.3.1 Matrix Representation of FCM -- 16.4 Neutrosophic Cognitive Map -- 16.4.1 Matrix Representation of NCM -- 16.5 Comparison and Discussion -- 16.6 Conclusion -- References -- Chapter 17 A Comprehensive Review and Analysis of the Plethora of Branches of Medical Science and Bioinformatics Based on Fuzzy Logic -- 17.1 Introduction -- 17.2 Previous Work -- 17.3 Fuzzy Logic in Medical Fields and Bioinformatics -- 17.3.1 Applied Fuzzy Logic in Medical Areas -- 17.3.2 Applied Fuzzy Logic in Bioinformatics -- 17.4 Review of Published Work and In-Depth Analysis -- 17.5 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830908903321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy logic for business and industry / Earl D. Cox ; foreword by Bart Kosko
| Fuzzy logic for business and industry / Earl D. Cox ; foreword by Bart Kosko |
| Autore | Cox, Earl |
| Pubbl/distr/stampa | Rockland, Mass. : Charles River Media, c1995 |
| Descrizione fisica | 601 p. : ill. ; 26 cm. + 2 computer disks (3 1/2 in.) |
| Disciplina | 003.7 |
| Soggetto topico |
Automatic control
Expert systems (Computer science) Fuzzy logic Fuzzy systems Adaptive control systems |
| ISBN | 1886801010 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001580599707536 |
|
Cox, Earl
|
||
| Rockland, Mass. : Charles River Media, c1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
