Fuzzy Multiple Objective Decision Making Methods and Applications / by Young-Jou Lai, Ching-Lai Hwang.

In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making a...

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Bibliographic Details
Main Authors: Lai, Young-Jou (Author), Hwang, Ching-Lai (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1994.
Edition:1st ed. 1994.
Series:Lecture Notes in Economics and Mathematical Systems, 404
Springer eBook Collection.
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Description
Summary:In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic.
Physical Description:XIV, 482 p. online resource.
ISBN:9783642579493
ISSN:0075-8442 ;
DOI:10.1007/978-3-642-57949-3