MARC状态：审校 文献类型：西文图书 浏览次数：36
- 题名/责任者:
- Fuzzy computing in data science : applications and challenges / edited by Sachi Nandan Mohanty, Prasenjit Chatterjee, and Bui Thanh Hung.
- 出版发行项:
- Hoboken, NJ : John Wiley & Sons, Inc., 2023.
- ISBN:
- 1119864925
- ISBN:
- 9781119864929
- 载体形态项:
- xxi, 336 pages : illustrations ; 24 cm
- 附加个人名称:
- Mohanty, Sachi Nandan, editor.
- 附加个人名称:
- Chatterjee, Prasenjit, editor.
- 附加个人名称:
- Hung, Bui Thanh, editor.
- 论题主题:
- Fuzzy logic.
- 论题主题:
- Fuzzy systems.
- 论题主题:
- Data mining.
- 中图法分类号:
- O141
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- 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.
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