机读格式显示(MARC)
- 000 02100cam a2200337 i 4500
- 008 221029s2023 njua b 001 0 eng d
- 020 __ |a 1119864925 |q hardcover
- 020 __ |a 9781119864929 |q hardcover : |c CNY1636.96
- 040 __ |a YDX |b eng |c YDX |e rda |d YDX |d DG1 |d ORMDA |d OCLCF
- 050 _4 |a QA9.64 |b .F89 2023
- 245 00 |a Fuzzy computing in data science : |b applications and challenges / |c edited by Sachi Nandan Mohanty, Prasenjit Chatterjee, and Bui Thanh Hung.
- 260 __ |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2023.
- 300 __ |a xxi, 336 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a 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.
- 700 1_ |a Mohanty, Sachi Nandan, |e editor.
- 700 1_ |a Chatterjee, Prasenjit, |e editor.
- 700 1_ |a Hung, Bui Thanh, |e editor.