Fuzzy Sets and Fuzzy Logic with Engineering Applications, 4ed, An Indian Adaptation
Description
This Indian adaptation features new illustrations and examples throughout the book. This will benefit student learning in all basic operations, the generation of membership functions, conversion to crisp quantities, decision-making techniques and specialized applications in the latter chapters of the book, providing an invaluable tool for students as well as for self-study by practicing engineers. Each chapter now includes some new examples and end-of-chapter problems.
Related Resources
Table of Contents
1 Introduction
- The Case for Imprecision
- A Historical Perspective
- The Utility of Fuzzy Systems
- Limitations of Fuzzy Systems
- The Illusion: Ignoring Uncertainty and Accuracy
- Uncertainty and Information
- Fuzzy Sets and Membership
- Chance Versus Fuzziness
- Intuition of Uncertainty: Fuzzy Versus Probability
- Sets as Points in Hypercubes
- Applications of Fuzzy Logic with Examples
- Contrast Between Conventional Ai/Expert Systems and Fuzzy-Based Systems
2 Classical Sets and Fuzzy Sets
- Classical Sets
- Fuzzy Sets
3 Classical Relations and Fuzzy Relations
- Cartesian Product
- Crisp Relations
- Fuzzy Relations
- Tolerance and Equivalence Relations
- Fuzzy Tolerance and Equivalence Relations
- Value Assignments
- Other Forms of the Composition Operation
4 Properties of Membership Functions, Fuzzification, Membership Value Assignments