Normal view MARC view

Soft computing for complex multiple criteria decision making

Author: Kaliszewski, Ignacy Series: International series in operations research and management science Publisher: Springer, 2006.Language: EnglishDescription: 168 p. ; 24 cm.ISBN: 0387301437Type of document: BookBibliography/Index: Includes bibliographical references and index
Tags: No tags from this library for this title. Log in to add tags.
Item type Current location Collection Call number Status Date due Barcode Item holds
Book Europe Campus
Main Collection
Print T58.62 .K35 2006
(Browse shelf)
001225972
Available 001225972
Total holds: 0

Includes bibliographical references and index

Digitized

Soft Computing for Complex Multiple Decision Making Contents List of Figures List of Tables Preface Notation 1. INTRODUCTION 2. PRELIMINARIES 1 This Chapter Is About ... 2 Dominance And Efficiency 3 Definitions And Problem Settings 4 Trade-offs 5 Concluding Remarks 6 Annotated References 3. MCDM - BASIC TOOLS 1 This Chapter Is About ... 2 Pareto Set Characterizations 2.1 Characterizations By Weight Manipulations 2.2 Characterization By Reference Point Manipulations 2.3 Characterization By Constraint Manipulations 3 Concluding Remarks 4 Annotated References xi xv xvii xix 1 9 10 10 14 24 30 30 33 33 34 35 40 42 43 43 viii SOFT COMPUTING FOR COMPLEX MULTIPLE CRITERIA DECISION ... 4. MCDM INTERACTIVE METHODS - AN OVERVIEW 1 This Chapter Is About ... 2 MCDM Interactive Methods 3 Weight Method Class 3.1 Weight Cut Methods 3.2 Tchebycheff Method 4 Reference Point Method Class 5 Constraint Method Class 6 Concluding Remarks 7 Annotated References 5. UNIVERSAL MCDM INTERFACE 1 This Chapter Is About ... 2 Towards Universal MCDM Interface 2.1 Weight Methods Versus Reference Point Methods 2.1.1 Weight Versus Reference Point Methods Methodological Paradigms 2.1.2 Weight Versus Reference Point Methods Technical Requirements 3 Universal Interface 4 Concluding Remarks 5 Annotated References 6. GENERIC INTERACTIVE MCDM SUPPORT SCHEME 1 This Chapter Is About ... 2 Generic Interactive MCDM Support Scheme 2.1 Preference Expressing In MCDM 2.1.1 Expressing Absolute Preferences 2.1.2 Expressing Relative Preferences 2.1.3 Expressing Absolute And Relative Preferences 2.1.4 Balancing Between Absolute And Relative Preference Expressing 2.1.5 Firm And Non-firm Preferences 3 Generic Interactive MCDM Support Scheme - GI S2 4 Practical Example 5 GI S2 At Work 6 Concluding Remarks 45 45 46 47 47 51 51 53 53 54 57 57 58 59 59 59 65 66 67 69 69 69 70 70 70 72 73 73 73 76 79 85 Contents ix 86 89 89 90 91 91 94 95 97 105 107 115 118 122 123 125 125 126 128 131 133 135 135 135 137 137 145 145 146 147 148 7 Annotated References 7. BOUNDS ON OUTCOME COMPONENTS 1 This Chapter Is About ... 2 Bounds On Efficient Outcome Components 3 Bounds On Pareto Set 4 Pareto Set Approximations 5 Parametric Bounds On Efficient Outcomes 5.1 Lower Bounds 5.2 Upper Bounds 6 Parametric Bound Dynamics 7 Numerical Example 8 Parametric Bounds When k = 2 And Z Is R1+-convex 9 Controlling Parametric Bound Tightness 10 Concluding Remarks 11 Annotated References 8. BOUNDS ON GLOBAL TRADE--OFFS 1 This Chapter Is About ... 2 Bounds On Global Trade-offs 3 Numerical Examples 4 Concluding Remarks 5 Annotated References 9. SOFT COMPUTING FOR COMPLEX MCDM PROBLEMS 1 This Chapter Is About ... 2 Solving Complex MCDM Problems With Soft Computing 3 Applications Of Parametric Bounds To Interactive MCDM Methods 3.1 Optimization and Cost Effectiveness 3.2 Fitness 3.3 Versatility 3.4 Practical Example 4 Soft Computing with GI S2 5 GI S3 At Work x SOFT COMPUTING FOR COMPLEX MULTIPLE CRITERIA DECISION ... 6 7 Concluding Remarks Annotated References 154 156 157 165 167 References Sources of Quotations Index

There are no comments for this item.

Log in to your account to post a comment.
Koha 18.11 - INSEAD Catalogue
Home | Contact Us | What's Koha?