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[null,"1.","Record Nr.",null,"UNINA9910830908903321"]
[null,null,"Titolo",null,"Fuzzy logic applications in computer science and mathematics / / edited by Rahul Kar [and four others]"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ : , : John Wiley & Sons, Inc., , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"1-394-17513-2"]
[{"$nulls":4},"1-394-17512-4"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (300 pages)"]
[null,null,"Disciplina",null,"510"]
[null,null,"Soggetti",null,"Fuzzy mathematics"]
[{"$nulls":4},"Fuzzy systems"]
[{"$nulls":4},"System analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"4 Fuzzy Logics and Marketing Decisions -- 4.1 Introduction -- 4.2 Literature -- 4.2.1 Fuzzy Logic (FL) -- 4.2.2 FL Application in Marketing -- 4.2.2.1 Communication and Advertising -- 4.2.2.2 Customer Service and Satisfaction -- 4.2.2.3 Customer Segmentation -- 4.2.2.4 CRM -- 4.2.2.5 Pricing -- 4.2.2.6 Evaluation of a Product -- 4.2.2.7 Uncertainty in the Development of New Products."]
[{"$nulls":4},"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."]
[{"$nulls":4},"Chapter 9 Design of Fuzzy Logic-Based Smart Cars Using Scilab -- 9.1 Introduction -- 9.2 Literature Survey -- 9.2.1 Fuzzy Logic for Automobile Industry -- 9.2.2 Fuzzy Logic for Smart Cars -- 9.2.3 Fuzzy Logic for Driver Behavior Detection -- 9.2.4 Fuzzy Logic Applications for Common Industry -- 9.3 Proposed Fuzzy Inference System for Smart Cars -- 9.3.1 Fuzzification -- 9.3.2 Membership Functions -- 9.3.3 Rule Base -- 9.3.4 Example Rules -- 9.3.5 Defuzzification -- 9.4 Implementation Details and Results -- 9.5 Conclusion and Future Work -- References -- Chapter 10 Financial Planning and Decision Making for Students Using Fuzzy Logic -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 System Architecture -- 10.3.1 Input -- 10.3.2 Fuzzification -- 10.3.3 Membership Function -- 10.3.3.1 Necessity -- 10.3.3.2 Cost Percentage -- 10.3.3.3 Quality -- 10.3.4 Fuzzy Rule Base -- 10.3.5 Fuzzy Output -- 10.3.6 Defuzzification -- 10.4 Conclusion and Future Scope -- References -- Chapter 11 A Novel Fuzzy Logic (FL) Algorithm for the Automatic Detection of Oral Cancer -- 11.1 Introduction -- 11.1.1 Significance of Pre-Processing -- 11.2 Image Enhancement -- 11.3 Gabor Transform -- 11.4 Image Transformation -- 11.5 Adaptive Networks: Architecture -- 11.5.1 Classification of Images -- 11.6 Results and Discussions -- 11.7 Conclusion -- Bibliography -- Chapter 12 A Study on Decision Making of Difficulties Faced by Indian Workers Abroad by Using Rough Topology -- 12.1 Introduction -- 12.1.1 Problems Faced by the Indian Workers -- 12.2 Fundamental Idea of Rough Topology -- 12.2.1 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"12.6 Conclusion -- References -- Chapter 13 Case Study on Fuzzy Logic: Fuzzy Logic-Based PID Controller to Tune the DC Motor Speed -- 13.1 Introduction -- 13.1.1 DC Motor -- 13.1.2 DC Motor Speed Control Methods -- 13.1.2.1 PID Controller -- 13.1.2.2 Fuzzy-Based PID Controller -- 13.1.2.3 Micro Controller-Based PID Controller -- 13.1.2.4 Genetic Algorithm-Based PID Controller -- 13.2 Literature Review -- 13.2.1 Common Findings -- 13.2.2 Comparative Analysis of Research Works Reviewed -- 13.2.3 Strengths in the Literature Reviewed -- 13.2.4 Weaknesses in the Literature Reviewed -- 13.2.5 Findings in the Literature Reviewed -- 13.3 Design of Fuzzy-Based PID Controller -- 13.3.1 Fuzzy Controller -- 13.3.2 Flowchart for Fuzzy Controller -- 13.3.3 Fuzzy Logic Controller Membership Function and FAM Table -- 13.3.4 Rules for the Fuzzy Controller -- 13.3.5 Simulation Diagram of FLC -- 13.3.6 Fuzzy-Based PID Controller -- 13.3.6.1 Fuzzy Block Design -- 13.3.6.2 Flowchart for Fuzzy-PID Controller -- 13.3.6.3 Simulation Diagram of Fuzzy-PID Controller -- 13.4 Experimental Work and Results Analysis -- 13.5 Conclusion and Future Scope -- References -- Chapter 14 Application of Intuitionistic Fuzzy Network Using Efficient Domination -- 14.1 Introduction -- 14.2 Efficient Domination in Intuitionistic Fuzzy Graph (IFG) -- 14.3 Main Frame Work -- 14.3.1 Construction of IFN from Sub IFN -- 14.4 Secret Key -- 14.4.1 Encryption Algorithm -- 14.4.2 Decryption Algorithm -- 14.5 Illustration -- 14.5.1 Construction of IFN from Sub IFN -- 14.5.2 Secret Key -- 14.5.3 Encryption Algorithm -- 14.5.4 Decryption Algorithm -- 14.6 Conclusion -- References -- Chapter 15 Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps -- 15.1 Introduction -- 15.2 Parameters of Malaria -- 15.3 Fuzzy Cognitive Map."]
[{"$nulls":4},"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."]