Multi-Objective Group Decision Making: Methods Software and Applications with Fuzzy Set Techniques (With CD-ROM)

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Overview

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. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.
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Table of Contents


Foreword     v
Preface     vii
Decision Making, Decision Support Systems, and Fuzzy Sets     1
Decision Making     3
Decision and Decision Makers     3
Decision Making Process     5
Problem Modelling and Optimisation     10
Computerised Decision Support     13
Multi-Objective and Multi-Attribute Decision Making     17
Criteria, Objectives, and Attributes     17
MODM Models     19
MODM Methods     21
Classifications     21
Weighting method     25
Goal programming     25
A case-based example     28
MADM Models     29
MADM Methods     31
TOPSIS     32
AHP     34
A case-based example     35
Summary     37
Group Decision Making     39
Decision Groups     39
Characteristics     40
Models     42
Process     44
Methods     46
Group Support Systems and Groupware     49
Summary     51
Decision Support Systems     53
Concepts     53
Characteristics     55
Types     56
Multi-Objective DSS     59
Multi-Attribute DSS     63
Group DSS     65
Intelligent DSS     67
Web-Based DSS     70
Components     73
Summary     75
Fuzzy Sets and Systems     77
Fuzzy Sets     77
Definitions     77
Operations and properties     79
Decomposition theorem and the extension principle     80
Fuzzy Relations     81
Fuzzy Numbers     83
Linguistic Variables     87
Fuzzy Linear Programming     89
Zimmermann's model     90
Fuzzy parameters     91
Summary     91
Fuzzy Multi-Objective Decision Making     93
Fuzzy MODM Models     95
A Problem     95
Fuzzy Parameter-Based MOLP Models     97
A general FMOLP model     97
An FMOLP[subscript alpha] model     100
Solution Transformation Theories     102
General MOLP transformation     102
Weighted MOLP transformation     111
Constrained MOLP transformation      114
Weighted maximum MOLP transformation     116
Fuzzy Multi-Objective Linear Goal Programming Models     119
Summary     121
Fuzzy MODM Methods     123
Related Issues     123
Fuzzy MOLP     126
Method description     126
A numeral example     130
Fuzzy MOLGP     136
Method description     137
A numeral example     141
Interactive FMOLP     146
Method description     146
A numeral example     152
Summary     159
Fuzzy Multi-Objective DSS     161
System Configuration     161
System Interface     163
A Model-Base and Model Management     164
A Method-Base and Solution Process     167
Fuzzy MOLP     167
Fuzzy MOLGP     167
Interactive FMOLP     170
Case-Based Examples     173
Summary     185
Fuzzy Group Decision Making     187
Fuzzy MCDM     189
A Problem     189
Models     193
Fuzzy TOPSIS     194
Fuzzy AHP     196
A Hybrid Method     197
Case-Based Examples     200
Summary     206
Fuzzy Group Decision Making     207
The Rational-Political Model     207
Uncertain Factors     210
An Intelligent FMCGDM Method     212
A Case-Based Example     217
Summary     226
A Web-Based Fuzzy Group DSS     229
System Features     229
System Configuration     231
System Working Process     233
Case-Based Examples     235
Summary     246
Fuzzy Multi-Objective Group Decision Making     247
Multi-Objective Group DSS     249
Frameworks     249
Multi-Objective Based Aggregation Methods     252
Average solution method     252
Weighting objective method     255
Weighting member method     258
Ideal solution method     260
Solution analysis method     262
An Intelligent MOGDSS     263
Design of the Intelligent Guide Subsystem     265
Knowledge acquisition process     265
Characteristics analysis models     266
Novice and intermediate modes      267
Logical connectivity and characteristics     268
Questions and responses     269
Inference process     270
Implementation     272
The MODM method subsystem     272
The intelligent guide subsystem     274
The group subsystem     277
Summary     279
Fuzzy Multi-Objective Group DSS     281
A Decision Method     281
System Configuration     285
System Interface     286
A Case-Based Example     288
Summary     298
Applications     299
Environmental Economic Load Dispatch     301
The Problem     301
A Fuzzy Dynamic Model     302
A Transformation Method     303
A Solution Technique     305
A Case Study     307
Summary     312
Team Situation Awareness     313
Situation Awareness     313
Uncertainty, Inconsistency, and Distributed Environment     314
A Case-Based Example     316
Summary     322
Reverse Logistics Management     323
Reverse Logistics Chain     323
Characteristics of Decision Making in the Reverse Logistics     325
A Multi-Stage Multi-Criteria Decision Support Model     329
A Case Study     331
Summary     339
User Manual on FMODSS     341
User Manual on FGDSS     355
Bibliography     361
Abbreviation     385
Index     387
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