| Description |
1 online resource (xxi, 336 pages) |
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| Subject |
Fuzzy logic.
|
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Fuzzy systems.
|
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Data mining.
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Logique floue. |
|
Systèmes flous. |
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Exploration de données (Informatique) |
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Data mining |
|
Fuzzy logic |
|
Fuzzy systems |
| Added Author |
Mohanty, Sachi Nandan, editor.
|
|
Chatterjee, Prasenjit, editor.
|
|
Hung, Bui Thanh, editor.
|
| Other Form: |
Print version: 1119864925 9781119864929 (OCoLC)1322366328 |
| ISBN |
9781394156870 electronic book |
|
1394156871 electronic book |
|
9781394156887 electronic book |
|
139415688X electronic book |
|
hardcover |
|
hardcover |
|
1394156863 |
|
9781394156863 (electronic bk.) |
|
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