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Home > Business and Economics > Business and Management > Operational research > Multicriteria Methodology for Decision Aiding: (12 Nonconvex Optimization and Its Applications)
Multicriteria Methodology for Decision Aiding: (12 Nonconvex Optimization and Its Applications)

Multicriteria Methodology for Decision Aiding: (12 Nonconvex Optimization and Its Applications)


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About the Book

This is the first comprehensive book to present, in English, the multicriteria methodology for decision aiding. In the foreword the distinctive features and main ideas of the European School of MCDA are outlined. The twelve chapters are essentially expository in nature, but scholarly in treatment. Some questions, which are too often neglected in the literature on decision theory, such as how is a decision made, who are the actors, what is a decision aiding model, how to define the set of alternatives, are discussed. Examples are used throughout the book to illustrate the various concepts. Ways to model the consequences of each alternative and building criteria taking into account the inevitable imprecisions, uncertainties and indeterminations are described and illustrated. The three classical operational approaches of MCDA: synthesis in one criterion (including MAUT), synthesis by outranking relations, interactive local judgements, are studied. This methodology tries to be a theoretical or intellectual framework directed towards formulating recommendations for action. Audience:The book is addressed to graduate students, postgraduates and researchers in management sciences, operations research or decision analysis, as well as all scientists who use models and methods for guiding decisions. In addition all those who, in business and administration, wish to take part in decision-making through scientific reasoning will be interested. The contents of the book are organized in such a way as to help individuals with different backgrounds and interests chart an appropriate course through the chapters (see Reader's Guide in the front-matter).

Table of Contents:
Introductory Chapters: How to Aid Whom with What Types of Decisions.- 1: Decision Problems and Processes.- 2: Decision Aiding: Major Actors and the Role of Models.- 3: Reference Examples.- 4: Phases and Options of an Approach to Decision Aiding (General Ideas of the Methodology).- Level I: How to Determine What is Possible and in What Terms to Formulate a Problem.- 5: Actions and Decision Aiding.- 6: Problematics as Guides in Decision Aiding.- Level II: How to Determine Preferences and on What Bases.- 7: Preference, Indifference, Incomparability: Binary Relations and Basic Structures.- 8: Comparing Actions and Modeling Consequences.- 9: Comparing Actions and Developing Criteria.- Levels III and IV: How to Proceed from Multiple Criteria to Comprehensive Preferences and Develop Recommendations.- 10: Coherent Criterion Family and Decision Aiding in the Description Problematic.- 11: Modeling Comprehensive Preferences: Three Operational Approaches for Progressing beyond the Description Problematic.- 12: Specific Difficulties in Choice, Sorting, and Ranking Problematics.

Review :
'So who should read this book? Just about everybody concerned with supporting decisions. ... all will gain valuable new perspectiveness. On decision making and decision support. This book is too important ... I recommend it wholeheartedly as a thought provoking read.' Journal of the Operational Research Society, 48 (1998) 'There is no dbout that this book is one of the most important publications in MCDA to have appeared in the history of the subject. It should be essential reading for anyone working in the field of multicriteria decision support.' Journal of Behavioral Decision Making, 11:2 (1998)


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Product Details
  • ISBN-13: 9781441947611
  • Publisher: Springer-Verlag New York Inc.
  • Publisher Imprint: Springer-Verlag New York Inc.
  • Height: 240 mm
  • No of Pages: 293
  • Series Title: 12 Nonconvex Optimization and Its Applications
  • ISBN-10: 1441947612
  • Publisher Date: 10 Dec 2010
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Width: 160 mm


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Multicriteria Methodology for Decision Aiding: (12 Nonconvex Optimization and Its Applications)
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