Fuzzy Logic : A Guide to Intelligent Systems

Pankaj Kumar

ISBN 10: 6200788405 / ISBN 13: 9786200788405

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book will be useful for graduates, post-graduates, and research students as well various programmers, who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.Fuzzy Logic, at present is a hot topic. It is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognizing, representing, manipulating, interpreting, and utilizing data and information that are vague and lack certainty. The various operators involved for Fuzzy Logic operation are explained. The basic concepts of Fuzzy Logic are discussed in detail using various solved examples. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. This book can be used as a ready reference material for graduate students and research scholars.

Seller Inventory # 9786200788405

Bibliographic Details

• Title: Fuzzy Logic : A Guide to Intelligent Systems
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6200788405
• ISBN 13: 9786200788405
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 137 grams

About this title

Synopsis

This book will be useful for graduates, post-graduates, and research students as well various programmers, who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.Fuzzy Logic, at present is a hot topic. It is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognizing, representing, manipulating, interpreting, and utilizing data and information that are vague and lack certainty. The various operators involved for Fuzzy Logic operation are explained. The basic concepts of Fuzzy Logic are discussed in detail using various solved examples. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. This book can be used as a ready reference material for graduate students and research scholars.