Name: Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning (Uncertainty, Computational Techniques, and Decision Intelligence) (en Inglés)
SKU: 62236960
Price: 170.30 USD
Availability: InStock
Author: Allahviranloo Tofigh,Pedrycz Witold,Seyyedabbasi Amir
ISBN: 9780443161476

portada Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning (Uncertainty, Computational Techniques, and Decision Intelligence) (en Inglés)

Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning (Uncertainty, Computational Techniques, and Decision Intelligence) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Allahviranloo Tofigh,Pedrycz Witold,Seyyedabbasi Amir

Idioma

Inglés

N° páginas

678

Encuadernación

Tapa Blanda

ISBN13

9780443161476

N° edición

Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning (Uncertainty, Computational Techniques, and Decision Intelligence) (en Inglés)

Allahviranloo Tofigh,Pedrycz Witold,Seyyedabbasi Amir (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning (Uncertainty, Computational Techniques, and Decision Intelligence) (en Inglés)"

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 IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.