ISBN:
9783030989743
Language:
English
Pages:
1 Online-Ressource(XI, 136 p. 63 illus., 40 illus. in color.)
Edition:
1st ed. 2022.
Series Statement:
Big and Integrated Artificial Intelligence 1
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Computational intelligence.
;
Artificial intelligence.
Abstract:
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.
Abstract:
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.
DOI:
10.1007/978-3-030-98974-3
