Decision-Making Models

A Perspective of Fuzzy Logic and Machine Learning de

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Éditeur :

Academic Press


Paru le : 2024-07-24

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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, optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision making mechanisms realized under uncertainty. - Introduces mathematics of intelligent systems which provides the usage of mathematical rigor such as precise definitions, theorems, results, and proofs - Provides extended and new comprehensive methods which can be used efficiently in a fuzzy environment as well as optimization problems and related fields - Covers applications and elaborates on the usage of the developed methodology in various fields of industry such as software technologies, biomedicine, image processing, and communications
Pages
300 pages
Collection
n.c
Parution
2024-07-24
Marque
Academic Press
EAN papier
9780443161476
EAN PDF
9780443161483

Informations sur l'ebook
Nombre pages copiables
30
Nombre pages imprimables
30
Taille du fichier
34427 Ko
Prix
137,15 €
EAN EPUB SANS DRM
9780443161483

Informations sur l'ebook
Prix
137,15 €

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