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FSKD 2008 : Fifth International Conference on Fuzzy Systems and Knowledge Discovery : 18-20 October, 2008 : Jinan, Shandong, China : proceedings
| FSKD 2008 : Fifth International Conference on Fuzzy Systems and Knowledge Discovery : 18-20 October, 2008 : Jinan, Shandong, China : proceedings |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2008 |
| Disciplina | 003/.7 |
| Soggetto topico |
Fuzzy systems
Expert systems (Computer science) Mathematics Algebra Physical Sciences & Mathematics |
| ISBN | 1-5090-7873-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140031803321 |
| [Place of publication not identified], : IEEE Computer Society, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
FUZZ-IEEE '02 : proceedings of the 2002 IEEE International Conference on Fuzzy Systems : May 12-17, 2002, Hilton Hawaiian Villange Hotel, Honolulu, Hawaii / / co-sponsored by Institute of Electrical and Electronics Engineers (IEEE), IEEE Neural Networks Society (NNS)
| FUZZ-IEEE '02 : proceedings of the 2002 IEEE International Conference on Fuzzy Systems : May 12-17, 2002, Hilton Hawaiian Villange Hotel, Honolulu, Hawaii / / co-sponsored by Institute of Electrical and Electronics Engineers (IEEE), IEEE Neural Networks Society (NNS) |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2002 |
| Descrizione fisica | 1 online resource (961 pages) |
| Disciplina | 629.8 |
| Soggetto topico |
Automatic control
Fuzzy systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996216907803316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Fuzzy approaches for soft computing and approximate reasoning : theories and applications : dedicated to Bernadette Bouchon-Meunier / / Marie-Jeanne Lesot, Christophe Marsala, editors
| Fuzzy approaches for soft computing and approximate reasoning : theories and applications : dedicated to Bernadette Bouchon-Meunier / / Marie-Jeanne Lesot, Christophe Marsala, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XX, 297 p. 49 illus., 32 illus. in color.) |
| Disciplina | 511.313 |
| Collana | Studies in fuzziness and soft computing |
| Soggetto topico | Fuzzy systems |
| ISBN | 3-030-54341-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: The Fuzzy Theoretic Turn -- Chapter 2: Membership functions -- Chapter 3: The evolution of the notion of overlap functions -- Chapter 4: Interpolative reasoning: valid, specificity-gradual -- Chapter 5: A similarity-based three-valued modal logic approach to reason with prototypes and counterexamples -- Chapter 6: Analogy -- Chapter 7: The role of the context in decision and optimization problems -- Chapter 8: Decision rules under vague and uncertain information -- Chapter 9: Abstract Models for Systems Identification -- Chapter 10: Fuzzy Systems Interpretability: What, Why and How -- Chapter 11: Fuzzy Clustering Models and Their Related Concepts. |
| Record Nr. | UNINA-9910483053103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy computing in data science : applications and challenges / / edited by Sachi Nandan Mohanty, Prasenjit Chatterjee and Bui Thanh Hung
| Fuzzy computing in data science : applications and challenges / / edited by Sachi Nandan Mohanty, Prasenjit Chatterjee and Bui Thanh Hung |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (363 pages) |
| Disciplina | 511.313 |
| Collana | Smart and sustainable intelligent systems |
| Soggetto topico |
Fuzzy logic
Fuzzy systems Data mining |
| ISBN |
1-394-15688-X
1-394-15687-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Preface -- Acknowledgement -- Chapter 1 Band Reduction of HSI Segmentation Using FCM -- 1.1 Introduction -- 1.2 Existing Method -- 1.2.1 K-Means Clustering Method -- 1.2.2 Fuzzy C-Means -- 1.2.3 Davies Bouldin Index -- 1.2.4 Data Set Description of HSI -- 1.3 Proposed Method -- 1.3.1 Hyperspectral Image Segmentation Using Enhanced Estimation of Centroid -- 1.3.2 Band Reduction Using K-Means Algorithm -- 1.3.3 Band Reduction Using Fuzzy C-Means -- 1.4 Experimental Results -- 1.4.1 DB Index Graph -- 1.4.2 K-Means-Based PSC (EEOC) -- 1.4.3 Fuzzy C-Means-Based PSC (EEOC) -- 1.5 Analysis of Results -- 1.6 Conclusions -- References -- Chapter 2 A Fuzzy Approach to Face Mask Detection -- 2.1 Introduction -- 2.2 Existing Work -- 2.3 The Proposed Framework -- 2.4 Set-Up and Libraries Used -- 2.5 Implementation -- 2.6 Results and Analysis -- 2.7 Conclusion and Future Work -- References -- Chapter 3 Application of Fuzzy Logic to the Healthcare Industry -- 3.1 Introduction -- 3.2 Background -- 3.3 Fuzzy Logic -- 3.4 Fuzzy Logic in Healthcare -- 3.5 Conclusions -- References -- Chapter 4 A Bibliometric Approach and Systematic Exploration of Global Research Activity on Fuzzy Logic in Scopus Database -- 4.1 Introduction -- 4.2 Data Extraction and Interpretation -- 4.3 Results and Discussion -- 4.3.1 Per Year Publication and Citation Count -- 4.3.2 Prominent Affiliations Contributing Toward Fuzzy Logic -- 4.3.3 Top Journals Emerging in Fuzzy Logic in Major Subject Areas -- 4.3.4 Major Contributing Countries Toward Fuzzy Research Articles -- 4.3.5 Prominent Authors Contribution Toward the Fuzzy Logic Analysis -- 4.3.6 Coauthorship of Authors -- 4.3.7 Cocitation Analysis of Cited Authors -- 4.3.8 Cooccurrence of Author Keywords.
4.4 Bibliographic Coupling of Documents, Sources, Authors, and Countries -- 4.4.1 Bibliographic Coupling of Documents -- 4.4.2 Bibliographic Coupling of Sources -- 4.4.3 Bibliographic Coupling of Authors -- 4.4.4 Bibliographic Coupling of Countries -- 4.5 Conclusion -- References -- Chapter 5 Fuzzy Decision Making in Predictive Analytics and Resource Scheduling -- 5.1 Introduction -- 5.2 History of Fuzzy Logic and Its Applications -- 5.3 Approximate Reasoning -- 5.4 Fuzzy Sets vs Classical Sets -- 5.5 Fuzzy Inference System -- 5.5.1 Characteristics of FIS -- 5.5.2 Working of FIS -- 5.5.3 Methods of FIS -- 5.6 Fuzzy Decision Trees -- 5.6.1 Characteristics of Decision Trees -- 5.6.2 Construction of Fuzzy Decision Trees -- 5.7 Fuzzy Logic as Applied to Resource Scheduling in a Cloud Environment -- 5.8 Conclusion -- References -- Chapter 6 Application of Fuzzy Logic and Machine Learning Concept in Sales Data Forecasting Decision Analytics Using ARIMA Model -- 6.1 Introduction -- 6.1.1 Aim and Scope -- 6.1.2 R-Tool -- 6.1.3 Application of Fuzzy Logic -- 6.1.4 Dataset -- 6.2 Model Study -- 6.2.1 Introduction to Machine Learning Method -- 6.2.2 Time Series Analysis -- 6.2.3 Components of a Time Series -- 6.2.4 Concepts of Stationary -- 6.2.5 Model Parsimony -- 6.3 Methodology -- 6.3.1 Exploratory Data Analysis -- 6.3.1.1 Seed Types-Analysis -- 6.3.1.2 Comparison of Location and Seeds -- 6.3.1.3 Comparison of Season (Month) and Seeds -- 6.3.2 Forecasting -- 6.3.2.1 Auto Regressive Integrated Moving Average (ARIMA) -- 6.3.2.2 Data Visualization -- 6.3.2.3 Implementation Model -- 6.4 Result Analysis -- 6.5 Conclusion -- References -- Chapter 7 Modified m-Polar Fuzzy Set ELECTRE-I Approach -- 7.1 Introduction -- 7.1.1 Objectives -- 7.2 Implementation of m-Polar Fuzzy ELECTRE-I Integrated Shannon's Entropy Weight Calculations. 7.2.1 The m-Polar Fuzzy ELECTRE-I Integrated Shannon's Entropy Weight Calculation Method -- 7.3 Application to Industrial Problems -- 7.3.1 Cutting Fluid Selection Problem -- 7.3.2 Results Obtained From m-Polar Fuzzy ELECTRE-I for Cutting Fluid Selection Problem -- 7.3.3 FMS Selection Problem -- 7.3.4 Results Obtained From m-Polar Fuzzy ELECTRE-I for FMS Selection -- 7.4 Conclusions -- References -- Chapter 8 Fuzzy Decision Making: Concept and Models -- 8.1 Introduction -- 8.2 Classical Set -- 8.3 Fuzzy Set -- 8.4 Properties of Fuzzy Set -- 8.5 Types of Decision Making -- 8.5.1 Individual Decision Making -- 8.5.2 Multiperson Decision Making -- 8.5.3 Multistage Decision Making -- 8.5.4 Multicriteria Decision Making -- 8.6 Methods of Multiattribute Decision Making (MADM) -- 8.6.1 Weighted Sum Method (WSM) -- 8.6.2 Weighted Product Method (WPM) -- 8.6.3 Weighted Aggregates Sum Product Assessment (WASPAS) -- 8.6.4 Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) -- 8.7 Applications of Fuzzy Logic -- 8.8 Conclusion -- References -- Chapter 9 Use of Fuzzy Logic for Psychological Support to Migrant Workers of Southern Odisha (India) -- 9.1 Introduction -- 9.2 Objectives and Methodology -- 9.2.1 Objectives -- 9.2.2 Methodology -- 9.3 Effect of COVID-19 on the Psychology and Emotion of Repatriated Migrants -- 9.3.1 Psychological Variables Identified -- 9.3.2 Fuzzy Logic for Solace to Migrants -- 9.4 Findings -- 9.5 Way Out for Strengthening the Psychological Strength of the Migrant Workers through Technological Aid -- 9.6 Conclusion -- References -- Chapter 10 Fuzzy-Based Edge AI Approach: Smart Transformation of Healthcare for a Better Tomorrow -- 10.1 Significance of Machine Learning in Healthcare -- 10.2 Cloud-Based Artificial Intelligent Secure Models -- 10.3 Applications and Usage of Machine Learning in Healthcare. 10.3.1 Detecting Diseases and Diagnosis -- 10.3.2 Drug Detection and Manufacturing -- 10.3.3 Medical Imaging Analysis and Diagnosis -- 10.3.4 Personalized/Adapted Medicine -- 10.3.5 Behavioral Modification -- 10.3.6 Maintenance of Smart Health Data -- 10.3.7 Clinical Trial and Study -- 10.3.8 Crowdsourced Information Discovery -- 10.3.9 Enhanced Radiotherapy -- 10.3.10 Outbreak/Epidemic Prediction -- 10.4 Edge AI: For Smart Transformation of Healthcare -- 10.4.1 Role of Edge in Reshaping Healthcare -- 10.4.2 How AI Powers the Edge -- 10.5 Edge AI-Modernizing Human Machine Interface -- 10.5.1 Rural Medicine -- 10.5.2 Autonomous Monitoring of Hospital Rooms-A Case Study -- 10.6 Significance of Fuzzy in Healthcare -- 10.6.1 Fuzzy Logic-Outline -- 10.6.2 Fuzzy Logic-Based Smart Healthcare -- 10.6.3 Medical Diagnosis Using Fuzzy Logic for Decision Support Systems -- 10.6.4 Applications of Fuzzy Logic in Healthcare -- 10.7 Conclusion and Discussions -- References -- Chapter 11 Video Conferencing (VC) Software Selection Using Fuzzy TOPSIS -- 11.1 Introduction -- 11.2 Video Conferencing Software and Its Major Features -- 11.2.1 Video Conferencing/Meeting Software (VC/MS) for Higher Education Institutes -- 11.3 Fuzzy TOPSIS -- 11.3.1 Extension of TOPSIS Algorithm: Fuzzy TOPSIS -- 11.4 Sample Numerical Illustration -- 11.5 Conclusions -- References -- Chapter 12 Estimation of Nonperforming Assets of Indian Commercial Banks Using Fuzzy AHP and Goal Programming -- 12.1 Introduction -- 12.1.1 Basic Concepts of Fuzzy AHP and Goal Programming -- 12.2 Research Model -- 12.2.1 Average Growth Rate Calculation -- 12.3 Result and Discussion -- 12.4 Conclusion -- References -- Chapter 13 Evaluation of Ergonomic Design for the Visual Display Terminal Operator at Static Work Under FMCDM Environment -- 13.1 Introduction -- 13.2 Proposed Algorithm. 13.3 An Illustrative Example on Ergonomic Design Evaluation -- 13.4 Conclusions -- References -- Chapter 14 Optimization of Energy Generated from Ocean Wave Energy Using Fuzzy Logic -- 14.1 Introduction -- 14.2 Control Approach in Wave Energy Systems -- 14.3 Related Work -- 14.4 Mathematical Modeling for Energy Conversion from Ocean Waves -- 14.5 Proposed Methodology -- 14.5.1 Wave Parameters -- 14.5.2 Fuzzy-Optimizer -- 14.6 Conclusion -- References -- Chapter 15 The m-Polar Fuzzy TOPSIS Method for NTM Selection -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methodology -- 15.3.1 Steps of the mFS TOPSIS -- 15.4 Case Study -- 15.4.1 Effect of Analytical Hierarchy Process (AHP) Weight Calculation on the mFS TOPSIS Method -- 15.4.2 Effect of Shannon's Entropy Weight Calculation on the m-Polar Fuzzy Set TOPSIS Method -- 15.5 Results and Discussions -- 15.5.1 Result Validation -- 15.6 Conclusions and Future Scope -- References -- Chapter 16 Comparative Analysis on Material Handling Device Selection Using Hybrid FMCDM Methodology -- 16.1 Introduction -- 16.2 MCDM Techniques -- 16.2.1 FAHP -- 16.2.2 Entropy Method as Weights (Influence) Evaluation Technique -- 16.3 The Proposed Hybrid and Super Hybrid FMCDM Approaches -- 16.3.1 TOPSIS -- 16.3.2 FMOORA Method -- 16.3.3 FVIKOR -- 16.3.4 Fuzzy Grey Theory (FGT) -- 16.3.5 COPRAS -G -- 16.3.6 Super Hybrid Algorithm -- 16.4 Illustrative Example -- 16.5 Results and Discussions -- 16.5.1 FTOPSIS -- 16.5.2 FMOORA -- 16.5.3 FVIKOR -- 16.5.4 Fuzzy Grey Theory (FGT) -- 16.5.5 COPRAS-G -- 16.5.6 Super Hybrid Approach (SHA) -- 16.6 Conclusions -- References -- Chapter 17 Fuzzy MCDM on CCPM for Decision Making: A Case Study -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Objective of Research -- 17.4 Cluster Analysis -- 17.4.1 Hierarchical Clustering -- 17.4.2 Partitional Clustering -- 17.5 Clustering. 17.6 Methodology. |
| Record Nr. | UNINA-9910830507603321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy control systems : design, analysis and performance evaluation / / Wendy Santos, editor
| Fuzzy control systems : design, analysis and performance evaluation / / Wendy Santos, editor |
| Pubbl/distr/stampa | Hauppauge, New York : , : Nova Science Publisher's, Incorporated, , [2017] |
| Descrizione fisica | 1 online resource (254 pages) : illustrations |
| Disciplina | 620/.0042 |
| Collana | Computer science, technology and applications |
| Soggetto topico |
Systems engineering
Fuzzy systems Fuzzy logic Control theory |
| ISBN | 1-63485-904-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910159433003321 |
| Hauppauge, New York : , : Nova Science Publisher's, Incorporated, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy control systems design and analysis [[electronic resource] ] : a linear matrix inequality approach / / Kazuo Tanaka and Hua O. Wang
| Fuzzy control systems design and analysis [[electronic resource] ] : a linear matrix inequality approach / / Kazuo Tanaka and Hua O. Wang |
| Autore | Tanaka Kazuo <1962-> |
| Pubbl/distr/stampa | New York, : Wiley, c2001 |
| Descrizione fisica | 1 online resource (321 p.) |
| Disciplina | 629.832 |
| Altri autori (Persone) | WangHua O |
| Soggetto topico |
Linear control systems
Fuzzy systems |
| ISBN |
1-280-36765-2
9786610367658 0-470-35221-3 0-471-46522-4 0-471-22459-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
FUZZY CONTROL SYSTEMS DESIGN AND ANALYSIS; CONTENTS; PREFACE; ACRONYMS; 1 INTRODUCTION; 1.1 A Control Engineering Approach to Fuzzy Control; 1.2 Outline of This Book; 2 TAKAGI-SUGENO FUZZY MODEL AND PARALLEL DISTRIBUTED COMPENSATION; 2.1 Takagi-Sugeno Fuzzy Model; 2.2 Construction of Fuzzy Model; 2.2.1 Sector Nonlinearity; 2.2.2 Local Approximation in Fuzzy Partition Spaces; 2.3 Parallel Distributed Compensation; 2.4 A Motivating Example; 2.5 Origin of the LMI-Based Design Approach; 2.5.1 Stable Controller Design via Iterative Procedure
2.5.2 Stable Controller Design via Linear Matrix Inequalities2.6 Application: Inverted Pendulum on a Cart; 2.6.1 Two-Rule Modeling and Control; 2.6.2 Four-Rule Modeling and Control; Bibliography; 3 LMI CONTROL PERFORMANCE CONDITIONS AND DESIGNS; 3.1 Stability Conditions; 3.2 Relaxed Stability Conditions; 3.3 Stable Controller Design; 3.4 Decay Rate; 3.5 Constraints on Control Input and Output; 3.5.1 Constraint on the Control Input; 3.5.2 Constraint on the Output; 3.6 Initial State Independent Condition; 3.7 Disturbance Rejection; 3.8 Design Example: A Simple Mechanical System 3.8.1 Design Case 1: Decay Rate3.8.2 Design Case 2: Decay Rate + Constraint on the Control Input; 3.8.3 Design Case 3: Stability + Constraint on the Control Input; 3.8.4 Design Case 4: Stability + Constraint on the Control Input + Constraint on the Output; References; 4 FUZZY OBSERVER DESIGN; 4.1 Fuzzy Observer; 4.2 Design of Augmented Systems; 4.2.1 Case A; 4.2.2 Case B; 4.3 Design Example; References; 5 ROBUST FUZZY CONTROL; 5.1 Fuzzy Model with Uncertainty; 5.2 Robust Stability Condition; 5.3 Robust Stabilization; References; 6 OPTIMAL FUZZY CONTROL 6.1 Quadratic Performance Function and Stabilization Control6.2 Optimal Fuzzy Controller Design; Appendix to Chapter 6; References; 7 ROBUST-OPTIMAL FUZZY CONTROL; 7.1 Robust-Optimal Fuzzy Control Problem; 7.2 Design Example: TORA; References; 8 TRAJECTORY CONTROL OF A VEHICLE WITH MULTIPLE TRAILERS; 8.1 Fuzzy Modeling of a Vehicle with Triple-Trailers; 8.1.1 Avoidance of Jack-Knife Utilizing Constraint on Output; 8.2 Simulation Results; 8.3 Experimental Study; 8.4 Control of Ten-Trailer Case; References; 9 FUZZY MODELING AND CONTROL OF CHAOTIC SYSTEMS; 9.1 Fuzzy Modeling of Chaotic Systems 9.2 Stabilization9.2.1 Stabilization via Parallel Distributed Compensation; 9.2.2 Cancellation Technique; 9.3 Synchronization; 9.3.1 Case 1; 9.3.2 Case 2; 9.4 Chaotic Model Following Control; References; 10 FUZZY DESCRIPTOR SYSTEMS AND CONTROL; 10.1 Fuzzy Descriptor System; 10.2 Stability Conditions; 10.3 Relaxed Stability Conditions; 10.4 Why Fuzzy Descriptor Systems?; References; 11 NONLINEAR MODEL FOLLOWING CONTROL; 11.1 Introduction; 11.2 Design Concept; 11.2.1 Reference Fuzzy Descriptor System; 11.2.2 Twin-Parallel Distributed Compensations; 11.2.3 The Common B Matrix Case 11.3 Design Examples |
| Record Nr. | UNINA-9910142506203321 |
Tanaka Kazuo <1962->
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| New York, : Wiley, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy expert systems and fuzzy reasoning [[electronic resource] /] / William Siler, James J. Buckley
| Fuzzy expert systems and fuzzy reasoning [[electronic resource] /] / William Siler, James J. Buckley |
| Autore | Siler William |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2005 |
| Descrizione fisica | 1 online resource (423 p.) |
| Disciplina | 006.3/3 |
| Altri autori (Persone) | BuckleyJames J. <1936-> |
| Soggetto topico |
Expert systems (Computer science)
Fuzzy systems |
| ISBN |
1-280-25242-1
9786610252428 0-470-35595-6 0-471-69849-0 0-471-69850-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
FUZZY EXPERT SYSTEMS AND FUZZY REASONING; CONTENTS; Preface; 1 Introduction; 1.1 Characteristics of Expert Systems; 1.1.1 Production Systems; 1.1.2 Data-Driven Systems; 1.1.3 Special Features of Fuzzy Systems; 1.1.4 Expert Systems for Fuzzy Control and for Fuzzy Reasoning; 1.2 Neural Nets; 1.3 Symbolic Reasoning; 1.4 Developing a Rule-Based Expert System; 1.5 Fuzzy Rule-Based Systems; 1.6 Problems in Learning How to Construct Fuzzy Expert Systems; 1.7 Tools for Learning How to Construct Fuzzy Expert Systems; 1.8 Auxiliary Reading; 1.9 Summary; 1.10 Questions; 2 Rule-Based Systems: Overview
2.1 Expert Knowledge: Rules and Data; 2.2 Rule Antecedent and Consequent; 2.2.1 Antecedents; 2.2.2 Admissible Data Types; 2.2.3 Consequents; 2.3 Data-Driven Systems; 2.4 Run and Command Modes; 2.4.1 Run Mode: Serial and Parallel Rule Firing; 2.4.2 Checking which Rules are Fireable: The RETE Algorithm; 2.4.3 Serial Rule Firing; 2.4.4 Parallel Rule-Firing; 2.5 Forward and Backward Chaining; 2.6 Program Modularization and Blackboard Systems; 2.7 Handling Uncertainties in an Expert System; 2.8 Summary; 2.9 Questions; 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I; 3.1 Classical Logic 3.1.1 Evaluating A AND B and A OR B3.1.2 The Implication Operator; 3.2 Elementary Fuzzy Logic and Fuzzy Propositions; 3.3 Fuzzy Sets; 3.3.1 Discrete Fuzzy Sets; 3.3.2 Fuzzy Numbers; 3.3.3 Linguistic Variables and Membership Functions; 3.4 Fuzzy Relations; 3.4.1 Matrices of Truth Values; 3.4.2 Relations Between Sets; 3.5 Truth Value of Fuzzy Propositions; 3.5.1 Comparing Single-Valued Data; 3.5.2 Comparing Fuzzy Numbers; 3.6 Fuzzification and Defuzzification; 3.6.1 Fuzzification; 3.6.2 Defuzzification; 3.7 Questions; 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II; 4.1 Introduction 4.2 Algebra of Fuzzy Sets; 4.2.1 T-Norms and t-Conorms: Fuzzy AND and OR Operators; 4.2.2 Correlation Fuzzy Logic; 4.2.3 Combining Fuzzy Numbers; 4.3 Approximate Reasoning; 4.4 Hedges; 4.5 Fuzzy Arithmetic; 4.5.1 Extension Principle; 4.5.2 Alpha-Cut and Interval Arithmetic; 4.5.3 Comparison of Alpha-Cut and Interval Arithmetic Methods; 4.6 Comparisons between Fuzzy Numbers; 4.6.1 Using the Extension Principle; 4.6.2 Alternate Method; 4.7 Fuzzy Propositions; 4.8 Questions; 5 Combining Uncertainties; 5.1 Generalizing AND and OR Operators 5.1.1 Correlation Logic: A Family of Fuzzy Logical Operators that Obeys Excluded Middle and Non-Contradiction Laws5.2 Combining Single Truth Values; 5.3 Combining Fuzzy Numbers and Membership Functions; 5.4 Bayesian Methods; 5.5 The Dempster-Shafer Method; 5.6 Summary; 5.7 Questions; 6 Inference in an Expert System I; 6.1 Overview; 6.2 Types of Fuzzy Inference; 6.3 Nature of Inference in a Fuzzy Expert System; 6.4 Modification and Assignment of Truth Values; 6.4.1 Monotonic Inference; 6.4.2 Non-monotonic Inference; 6.4.3 Downward Monotonic Inference; 6.5 Approximate Reasoning 6.6 Tests of Procedures to Obtain the Truth Value of a Consequent from the Truth Value of Its Antecedent |
| Record Nr. | UNINA-9910146067403321 |
|
Siler William
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||
| Hoboken, N.J., : Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy expert systems and fuzzy reasoning [[electronic resource] /] / William Siler, James J. Buckley
| Fuzzy expert systems and fuzzy reasoning [[electronic resource] /] / William Siler, James J. Buckley |
| Autore | Siler William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2005 |
| Descrizione fisica | 1 online resource (423 p.) |
| Disciplina | 006.3/3 |
| Altri autori (Persone) | BuckleyJames J. <1936-> |
| Soggetto topico |
Expert systems (Computer science)
Fuzzy systems |
| ISBN |
1-280-25242-1
9786610252428 0-470-35595-6 0-471-69849-0 0-471-69850-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
FUZZY EXPERT SYSTEMS AND FUZZY REASONING; CONTENTS; Preface; 1 Introduction; 1.1 Characteristics of Expert Systems; 1.1.1 Production Systems; 1.1.2 Data-Driven Systems; 1.1.3 Special Features of Fuzzy Systems; 1.1.4 Expert Systems for Fuzzy Control and for Fuzzy Reasoning; 1.2 Neural Nets; 1.3 Symbolic Reasoning; 1.4 Developing a Rule-Based Expert System; 1.5 Fuzzy Rule-Based Systems; 1.6 Problems in Learning How to Construct Fuzzy Expert Systems; 1.7 Tools for Learning How to Construct Fuzzy Expert Systems; 1.8 Auxiliary Reading; 1.9 Summary; 1.10 Questions; 2 Rule-Based Systems: Overview
2.1 Expert Knowledge: Rules and Data; 2.2 Rule Antecedent and Consequent; 2.2.1 Antecedents; 2.2.2 Admissible Data Types; 2.2.3 Consequents; 2.3 Data-Driven Systems; 2.4 Run and Command Modes; 2.4.1 Run Mode: Serial and Parallel Rule Firing; 2.4.2 Checking which Rules are Fireable: The RETE Algorithm; 2.4.3 Serial Rule Firing; 2.4.4 Parallel Rule-Firing; 2.5 Forward and Backward Chaining; 2.6 Program Modularization and Blackboard Systems; 2.7 Handling Uncertainties in an Expert System; 2.8 Summary; 2.9 Questions; 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I; 3.1 Classical Logic 3.1.1 Evaluating A AND B and A OR B3.1.2 The Implication Operator; 3.2 Elementary Fuzzy Logic and Fuzzy Propositions; 3.3 Fuzzy Sets; 3.3.1 Discrete Fuzzy Sets; 3.3.2 Fuzzy Numbers; 3.3.3 Linguistic Variables and Membership Functions; 3.4 Fuzzy Relations; 3.4.1 Matrices of Truth Values; 3.4.2 Relations Between Sets; 3.5 Truth Value of Fuzzy Propositions; 3.5.1 Comparing Single-Valued Data; 3.5.2 Comparing Fuzzy Numbers; 3.6 Fuzzification and Defuzzification; 3.6.1 Fuzzification; 3.6.2 Defuzzification; 3.7 Questions; 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II; 4.1 Introduction 4.2 Algebra of Fuzzy Sets; 4.2.1 T-Norms and t-Conorms: Fuzzy AND and OR Operators; 4.2.2 Correlation Fuzzy Logic; 4.2.3 Combining Fuzzy Numbers; 4.3 Approximate Reasoning; 4.4 Hedges; 4.5 Fuzzy Arithmetic; 4.5.1 Extension Principle; 4.5.2 Alpha-Cut and Interval Arithmetic; 4.5.3 Comparison of Alpha-Cut and Interval Arithmetic Methods; 4.6 Comparisons between Fuzzy Numbers; 4.6.1 Using the Extension Principle; 4.6.2 Alternate Method; 4.7 Fuzzy Propositions; 4.8 Questions; 5 Combining Uncertainties; 5.1 Generalizing AND and OR Operators 5.1.1 Correlation Logic: A Family of Fuzzy Logical Operators that Obeys Excluded Middle and Non-Contradiction Laws5.2 Combining Single Truth Values; 5.3 Combining Fuzzy Numbers and Membership Functions; 5.4 Bayesian Methods; 5.5 The Dempster-Shafer Method; 5.6 Summary; 5.7 Questions; 6 Inference in an Expert System I; 6.1 Overview; 6.2 Types of Fuzzy Inference; 6.3 Nature of Inference in a Fuzzy Expert System; 6.4 Modification and Assignment of Truth Values; 6.4.1 Monotonic Inference; 6.4.2 Non-monotonic Inference; 6.4.3 Downward Monotonic Inference; 6.5 Approximate Reasoning 6.6 Tests of Procedures to Obtain the Truth Value of a Consequent from the Truth Value of Its Antecedent |
| Record Nr. | UNINA-9910827978903321 |
|
Siler William
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||
| Hoboken, N.J., : Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy expert systems and fuzzy reasoning / William Siler, James J. Buckley
| Fuzzy expert systems and fuzzy reasoning / William Siler, James J. Buckley |
| Autore | Siler, William |
| Pubbl/distr/stampa | Hoboken, N. J. : Wiley, 2005 |
| Descrizione fisica | xvi, 405 p. : ill. ; 24 cm |
| Disciplina | 006.33 |
| Altri autori (Persone) | Buckley, James J. |
| Soggetto topico |
Expert systems (Computer science)
Fuzzy systems |
| ISBN | 0471388599 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991002290159707536 |
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Siler, William
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| Hoboken, N. J. : Wiley, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Fuzzy information & engineering and operations research & management / / Bing-Yuan Cao, Hadi Nasseri, editors
| Fuzzy information & engineering and operations research & management / / Bing-Yuan Cao, Hadi Nasseri, editors |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Heidelberg, Germany : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xiv, 570 pages) : illustrations (some color) |
| Disciplina | 006.33 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Fuzzy systems
Operations research |
| ISBN | 3-642-38667-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Programming and Optimization -- Part II Lattice and Measures -- Part III Algebras and Equation -- Part IV Forecasting, Clustering and Recognition -- Part V Systems and Algorithm -- Part VI Graph and Network -- Part VII Others. |
| Record Nr. | UNINA-9910299707503321 |
| Heidelberg, Germany : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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