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Elsevier Science Publishing Co Inc
Elsevier Science Publishing Co Inc - Decision - Making Models A Perspective Of Fuzzy Logic And Machine Learning - Paperback
Elsevier Science Publishing Co Inc - Decision - Making Models A Perspective Of Fuzzy Logic And Machine Learning - Paperback
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Binding: Paperback
Description: Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real - life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers professors software engineers and graduate students working in the fields of applied mathematics software engineering and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems. Other areas of note include optimization problems and artificial intelligence practices as well as how to analyze Io T solutions with applications and develop decision - making mechanisms realized under uncertainty.
Title: Decision - Making Models A Perspective Of Fuzzy Logic And Machine Learning
Brand: Elsevier Science Publishing Co Inc
Barcode: 9780443161476
Pages: 678 Pages
Publication Date: 7/25/2024
Series: Uncertainty, Computational Techniques, and Decision Intelligence
Category: Information Architecture
Description: Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real - life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers professors software engineers and graduate students working in the fields of applied mathematics software engineering and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems. Other areas of note include optimization problems and artificial intelligence practices as well as how to analyze Io T solutions with applications and develop decision - making mechanisms realized under uncertainty.
Title: Decision - Making Models A Perspective Of Fuzzy Logic And Machine Learning
Brand: Elsevier Science Publishing Co Inc
Barcode: 9780443161476
Pages: 678 Pages
Publication Date: 7/25/2024
Series: Uncertainty, Computational Techniques, and Decision Intelligence
Category: Information Architecture
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