Contemporary fuzzy logic : a perspective of fuzzy logic with scilab
Author(s)
Bibliographic Information
Contemporary fuzzy logic : a perspective of fuzzy logic with scilab
（Big and integrated artificial intelligence, v.1）
Springer, c2022
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Note
Includes bibliographical references
Description and Table of Contents
Description
This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors' research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.
Table of Contents
Introduction to fuzzy sets.- Fuzzy numbers.- Fuzzy relations.- Fuzzy logic.- Fuzzy inference systems.- Combining artificial neural networks and fuzzy sets.- Fuzzy transform.- Introduction to granular computing.
by "Nielsen BookData"
