Fuzzy multiple objective decision making methods and applications by Young-Jou Lai

Cover of: Fuzzy multiple objective decision making | Young-Jou Lai

Published by Springer-Verlag in Berlin, New York .

Written in English

Read online

Subjects:

  • Multiple criteria decision making,
  • Fuzzy sets

Edition Notes

Includes bibliographical references (p. [410]-448).

Book details

StatementYoung-Jou Lai, Ching-Lai Hwang.
SeriesLecture notes in economics and mathematical systems ;, 404
ContributionsHwang, C. L. 1929-
Classifications
LC ClassificationsT57.95 .L34 1994
The Physical Object
Paginationxiv, 475 p. :
Number of Pages475
ID Numbers
Open LibraryOL1429316M
ISBN 103540575952, 0387575952
LC Control Number93040609

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The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making Author: Gwo-Hshiung Tzeng.

Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM).Cited by: In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified.

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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. This leads to the development of fuzzy-like multiple objective multistage decision making.

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In this chapter, we use preference-based membership functions, μ(·), to resolve this fuzzy nature and obtain fuzzy multiple objective decision making problems (FMODM).

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Pérez-Gladish, Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer Series in Advanced Manufacturing, Volume 2, Springer-Verlag London, UK, TOPSIS Algorithms for Multiple Objectives Decision Making.

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.

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The content of this book is divided into two parts: methodologies and applications. In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method.

Fuzzy Multi-Criteria Decision Making (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers.

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The first part of the book introduces the most popular methods used to calculate the solution of MOP in Manufacturer: Chapman and Hall/CRC. The classification, review and analysis of fuzzy multicriteria decision making methods are summarized in the first two chapters.

While the first chapter classifies the multicriteria methods in a general sense, the second chapter focuses on intelligent fuzzy multicriteria decision making. The rest of the book is divided into two main parts. A multiple objective decision making model for energy generation portfolio under fuzzy uncertainty: Case study of large scale investor-owned utilities in Florida Author links open overlay panel Ziqiang Zeng a b Ehsan Nasri c Abdol Chini b Robert Ries b Jiuping Xu aCited by: Fuzzy-Like Multiple Objective Decision Making by Jiuping Xu and Xiaoyang Zhou available in Hardcover on jointhedotszine.com, also read synopsis and reviews.

Using real-life problems, this book presents applications of the fuzzy-like multi-objective decision. The fuzzy programming approach [,] is useful and efficient for treating a programming problem under uncertainty.

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Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments. How do we model the multiple objective decision making problems under fuzzy-like environments. How. Pris: kr. Häftad, Skickas inom vardagar.

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Share. Export. Advanced. Fuzzy Sets and Systems. VolumeIssue 3, 1 AugustPages Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting.

Jun 25,  · Fuzzy-Like Multiple Objective Decision Making. Optimal Models and Methods with Fuzzy Quantities [electronic resource] Item Preview.

In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem.

In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically.

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May 01,  · This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively.

It also gives a set of related methods (including algorithms) to solve these problems. Multiple Objective Decision Making Fuzzy Multiple Objective Decision Making Possibilistic Multiple Objective Decision Making Concluding Remarks --Appendix: Stochastic Programming.

Series Title: Lecture notes in economics and mathematical systems, Responsibility: Young-Jou Lai, Ching-Lai Hwang. More information: Publisher. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Author: Shu-Jen Chen.

Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

Multiple Attribute Decision Making M e t h o d s a n d a p p l i c a t i o n s Gwo-Hshiung Tzeng Jih-Jeng Huang.

Using real-life problems, this book presents applications of the fuzzy-like multi-objective decision making (FLMODM) model. It proposes the basic theories, models. European Journal of Operational Research 53 () North-Holland Application of fuzzy theories to multiple objective decision making in system design Anoop Kumar Dhingra School of Mechanical Engineering, Purdue University, West Lafayette, INUSA Herbert Moskowitz Krannert Graduate School of Management, Purdue University, West Lafayette, INUSA Received April Cited by: Decision making is the process of selecting a possible course of action from all the available alternatives.

In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one.

Application of fuzzy sets to multi-objective project management decisions. systems with multiple modes under fuzzy uncertainty. A multi-objective decision making model is established in which. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM).

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