Fuzzy computing in data science : applications and challenges /

FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It prese...

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Bibliographic Details
Other Authors: Mohanty, Sachi Nandan (Editor), Chatterjee, Prasenjit (Editor), Hung, Bui Thanh (Editor)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, Inc., 2023.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation. Audience Researchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology.
Physical Description:1 online resource (xxi, 336 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781394156870
1394156871
9781394156887
139415688X