Insight into Fuzzy Modeling
Providesa unique and methodologically consistent treatment of various areas of fuzzy modeling and includes the results of mathematical fuzzy logic and linguistics This book is the result of almost thirty years of research on fuzzy modeling. It provides a unique view of both the theory and various ty...
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| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Newark
Wiley
2016
John Wiley & Sons, Incorporated Wiley-Blackwell |
| Edition: | 1 |
| Subjects: | |
| ISBN: | 1119193206, 9781119193203, 1119193184, 9781119193180 |
| Online Access: | Get full text |
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Table of Contents:
- 8.1 IMAGE AND ITS BASIC PROCESSING USING F-TRANSFORM -- 8.2 F-TRANSFORM-BASED IMAGE COMPRESSION AND RECONSTRUCTION -- 8.3 F1-TRANSFORM EDGE DETECTOR -- 8.4 F-TRANSFORM-BASED IMAGE FUSION -- 8.5 F-TRANSFORM-BASED CORRUPTED IMAGE RECONSTRUCTION -- Chapter 9: Analysis and Forecasting of Time Series -- 9.1 CLASSICAL VERSUS FUZZY MODELS OF TIME SERIES -- 9.2 ANALYSIS OF TIME SERIES USING F-TRANSFORM -- 9.3 TIME SERIES FORECASTING -- 9.4 CHARACTERIZATION OF TIME SERIES IN NATURAL LANGUAGE -- References -- Index -- End User License Agreement
- Intro -- Title Page -- Copyright -- Table of Contents -- Dedication -- Preface -- Acknowledgments -- About the Companion Website -- PART I: FUNDAMENTALS OF FUZZY MODELING -- Chapter 1: What is Fuzzy Modeling -- 1.1 INDETERMINACY IN HUMAN LIFE -- 1.2 FUZZY MODELING: WITH AND WITHOUT WORDS -- Chapter 2: Overview of Basic Notions -- 2.1 RELATIONS, FUNCTIONS, ORDERED SETS -- 2.2 FUZZY SETS AND FUZZY RELATIONS -- 2.3 ELEMENTS OF MATHEMATICAL FUZZY LOGIC -- Chapter 3: Fuzzy If-Then Rules in Approximation Of Functions -- 3.1 RELATIONAL INTERPRETATION OF FUZZY IF-THEN RULES -- 3.2 APPROXIMATION OF FUNCTIONS USING FUZZY IF-THEN RULES -- 3.3 GENERALIZED MODUS PONENS AND FUZZY FUNCTIONS -- 3.4 TAKAGI-SUGENO RULES -- Chapter 4: Fuzzy Transform -- 4.1 FUZZY PARTITION -- 4.2 THE CONCEPT OF F-TRANSFORM -- 4.3 DISCRETE F-TRANSFORM -- 4.4 F-TRANSFORM OF FUNCTIONS OF TWO VARIABLES -- 4.5 F1-TRANSFORM -- 4.6 METHODOLOGICAL REMARKS TO APPLICATIONS OF THE F-TRANSFORM -- Chapter 5: Fuzzy Natural Logic and Approximate Reasoning -- 5.1 LINGUISTIC SEMANTICS AND LINGUISTIC VARIABLE -- 5.2 THEORY OF EVALUATIVE LINGUISTIC EXPRESSIONS -- 5.3 INTERPRETATION OF FUZZY/LINGUISTIC IF-THEN RULES -- 5.4 APPROXIMATE REASONING WITH LINGUISTIC INFORMATION -- Chapter 6: Fuzzy Cluster Analysis -- 6.1 BASIC NOTIONS -- 6.2 FUZZY CLUSTERING ALGORITHMS -- 6.3 THE ALGORITHM OF FUZZY c-MEANS -- 6.4 THE GUSTAFSON-KESSEL ALGORITHM -- 6.5 HOW THE NUMBER OF CLUSTERS CAN BE DETERMINED -- 6.6 CONSTRUCTION OF FUZZY RULES BASED ON FOUND CLUSTERS -- PART II: SELECTED APPLICATIONS -- Chapter 7: Fuzzy/Linguistic Control and Decision-Making -- 7.1 THE PRINCIPLE OF FUZZY CONTROL -- 7.2 FUZZY CONTROLLERS -- 7.3 DESIGN OF FUZZY/LINGUISTIC CONTROLLER -- 7.4 LEARNING -- 7.5 DECISION-MAKING USING LINGUISTIC DESCRIPTIONS -- Chapter 8: F-Transform in Image Processing