这本书介绍了模糊逻辑，包括从跨学科角度的基本原则。它包括演化模糊集和模糊集操作的概念、模糊化规则库设计和反模糊化，以及模糊集设计和选定应用的简单指南。
神经网络和遗传算法的初步概念添加了相关示例和练习的功能。它主要面向本科生、研究生和研究人员，以促进作为人类智能和机器之间媒介的模糊逻辑日益增长的领域的教育。
A Learner’s Guide to Fuzzy Logic Systems, 2nd Edition
This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications.
Preliminary concepts of Neural Networks and Genetic Algorithm are added features with relevant examples and exercises. It is primarily intended for undergraduate and postgraduate students and researchers to facilitate education in the ever-increasing field of fuzzy logic as medium between human intelligence and machine.
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