This book provides a concise overview of fuzzy systems theory and its applications. Written by the leading scientists behind the successful Japanese fuzzy systems research effort, the goal of the book is to introduce fuzzy systems as a practical tool. After presenting the basics of fuzzy systems the
Fuzzy Systems Theory and Application
β Scribed by Constantin Volosencu
- Year
- 2022
- Tongue
- English
- Leaves
- 244
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Cover
Chapter 1 Existence, Uniqueness and Approximate Solutions of Fuzzy Fractional Differential Equations
Chapter 2 ( Ξ± , Ξ² ) - Pythagorean Fuzzy Numbers Descriptor Systems
Chapter 3 A Study of Fuzzy Sequence Spaces
Chapter 4 Towards a Fuzzy Context Logic
Chapter 5 Modified Expression to Evaluatethe Correlation Coefficient of Dual Hesitant Fuzzy Sets and Its Application to Multi-Attribute Decision Making
Chapter 6 Evaluating the Organizational Hierarchy Using the IFSAW and TOPSIS Techniques
Chapter 7 Data Clustering for Fuzzyfier Value Derivation
Chapter 8 Compensatory Adaptive Neural Fuzzy Inference System
Chapter 9 Fuzzy Logic Expert System for Health Condition Assessment of Power Transformers
Chapter 10 Health Monitoring of an Aircraft Fuel System Using Artificial Intelligence Techniques
Chapter 11 Fuzzy Logic Control with PSO Tuning
Chapter 12 Functioning Fuzzy Logic in Optimizing the Solar Systems Work
Chapter 13 Location Selection for Smog Towers Using Zadehβs Z-Numbers Integrated with WASPAS
Chapter 14 Fuzzy Modeling of Urban Water Supply Crisis
Chapter 15 Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease
π SIMILAR VOLUMES
Applications of fuzzy theory are maturing and multiplying at a phenomenal rate because of the essential role that "fuzzy logic" plays in the effective design of many industrial and decision-support systems. Unlike traditional computer logic involving clearly true and false decisions, a fuzzy logic s
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and
<p><p>In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time as a source of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the problems
<p><p>In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time as a source of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the problems