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Multicriteria analysis : applications to water and environment management

Author: Mahdī Z̤arghāmī; Ferenc Szidarovszky
Publisher: New York : Springer, 2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats

From its presentation of the major components and modeling of MCDA problems, to a discussion of solutions to the obstacles caused by uncertain environmental and economical conditions, this volume  Read more...


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Genre/Form: Electronic books
Additional Physical Format: Print version:
Z̤arghāmī, Mahdī.
Multicriteria analysis.
New York : Springer, 2011
(DLC) 2011923789
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mahdī Z̤arghāmī; Ferenc Szidarovszky
ISBN: 9783642179372 3642179371
OCLC Number: 742513912
Description: 1 online resource (xi, 159 pages) : illustrations (some color)
Contents: 1 Introduction to Multi Criteria Decision Analysis1.1 Decision Analysis 1.2 The Components of MCDA Problems 1.3 Classification of MCDA Problems 2 The Hierarchy of the Criteria 2.1 Introduction 2.2 Criteria 2.3 Constructing the Hierarchy of the Criteria 3 Solution of Discrete MCDA Problems 3.1 Introduction 3.2Dominance Method 3.3 Sequential Optimization (SO) 3.4 The ε-Constraint Method (εCM) 3.5 Simple Additive Weighting (SAW) 3.6 Distance Based Methods (DBM) 3.7 The Analytic Hierarchy Process (AHP) 3.8 Other Methods 3.9 Case Studies3.10 Discussions4 Solution of Continuous MCDA Problems4.1 Introduction4.2 Dominance Method4.3 Sequential Optimization4.4 The ε-Constraint Method4.5 Simple Additive Weighting4.6 Distance Based Methods4.7 Other Methods4.8 Case Studies4.9 Discussions5 Social Choice Methods5.1 Introduction5.2 Social Choice Methods5.3 Case Studies5.4 Consensus on the Results5.5 Discussions6 Conflict Resolution Methods6.1 Introduction6.2 The Nash Bargaining Solution6.3 The Non-symmetric Nash Solution6.4 Area Monotonic Solution6.5 Equal Loss Solution6.6 Kalai-Smorodinsky Solution6.7 Case Studies6.8 Discussions7 MCDA Problems under Uncertainty7.1 Introduction7.2 Probabilistic Methods7.3 Fuzzy Methods7.4 Probabilistic-Fuzzy MCDA Models7.5 Case StudiesReferences Appendix 1 Index
Responsibility: Mahdi Zarghami, Ferenc Szidarovszky.


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