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Fuzzy Multiple Objective Decision Making

Methods and Applications

  • Book
  • © 1994

Overview

Authors:
  1. Young-Jou Lai

    1. Department of Industrial Engineering, Kansas State University, Manhattan, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Ching-Lai Hwang

    1. Department of Industrial Engineering, Kansas State University, Manhattan, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 404)

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Introduction

    • Young-Jou Lai, Ching-Lai Hwang
    Pages 1-26

  3. Multiple Objective Decision Making

    • Young-Jou Lai, Ching-Lai Hwang
    Pages 27-138

  4. Fuzzy Multiple Objective Decision Making

    • Young-Jou Lai, Ching-Lai Hwang
    Pages 139-262

  5. Possibilistic Multiple Objective Decision Making

    • Young-Jou Lai, Ching-Lai Hwang
    Pages 263-393

  6. Concluding Remarks

    • Young-Jou Lai, Ching-Lai Hwang
    Pages 394-409

  7. Back Matter

    Pages 410-482
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Industrial Engineering, Kansas State University, Manhattan, USA

    Young-Jou Lai, Ching-Lai Hwang

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