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 Online-Ressource
Titel:Fuzzy logic applications in computer science and mathematics
Mitwirkende:Kar, Rahul [HerausgeberIn]   i
Verf.angabe:edited by Rahul Kar [and four others]
Verlagsort:Hoboken, NJ ; Beverly, MA
 Hoboken, NJ ; Beverly, MA
Verlag:John Wiley & Sons, Inc.
 Scrivener Publishing LLC
Jahr:2023
 2023
Umfang:1 online resource (283 pages)
Illustrationen:illustrations (some color).
Gesamttitel/Reihe:Advances in learning analytics for intelligent cloud-IoT systems
Fussnoten:Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on October 05, 2023)
ISBN:978-1-394-17513-0
 1-394-17513-2
 978-1-394-17512-3
 1-394-17512-4
 978-1-394-17453-9
Abstract:FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering. The basic steps of fuzzy inference systems starting from the core foundation of the fuzzy concepts are presented in this book. The fuzzy theory is a mathematical concept and, at the same time, it is applied to many versatile engineering fields and research domains related to computer science. The fuzzy system offers some knowledge about uncertainty and is also related to the theory of probability. A fuzzy logic-based model acts as the classifier for many different types of data belonging to several classes. Covered in this book are topics such as the fundamental concepts of mathematics, fuzzy logic concepts, probability and possibility theories, and evolutionary computing to some extent. The combined fields of neural network and fuzzy domain (known as the neuro-fuzzy system) are explained and elaborated. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book. Audience This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781394174539/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Logique floue
 Informatique ; Mathématiques
 Computer science ; Mathematics
 Fuzzy logic
K10plus-PPN:1887280367
 
 
Lokale URL UB: Zum Volltext
 
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