Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications / Edition 1

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Overview

Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Th eory and Applications aims to bring together 'state-of-the-art' review s and the most recent advances by leading experts on the fundamental t heories, methodologies and applications of MCDM. This is aimed at grad uate students and researchers in mathematics, economics, management an d engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing f ield.

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Editorial Reviews

From the Publisher
'I highly recommend the book to a broad audience of graduate students and scientists in operations research, economics, management sciences, and engineering, and to practitioners interested in following recent developments in MCDM.'
Interfaces, 31:3(2001)
Booknews
Contains selected papers presented at a November 1997 meeting of the Regional Science Association International, held in Buffalo, NY, along with invited contributions from scholars active in the field of spatial multicriteria decision making and analysis. Early papers explore theoretical and conceptual aspects of this type of decision making not confined to any specific application domain. Remaining papers are organized along two major application domains: location decision and analysis problems, and various spatial decision problems whose systemic scope sets them apart from locational decision problems. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Table of Contents

Foreword. Preface. About the Authors. 1. Decision-Aiding Today: What Should We Expect; B. Roy. 2. Theory of Vectormaximization: Various Concepts of Efficient Solutions; J. Jahn. 3. Duality in Multi-objective Optimization; H. Nakayama. 4. Preference Relations and MCDM; C.A. Bana e Costa, J.-C. Vansnick. 5. Normative and Descriptive Aspects of Decision Making; O.I. Larichev. 6. Meta Decision Problems in Multiple Criteria Decision Making; T. Hanne. 7. Sensitivity Analysis in MCDM; T. Tanino. 8. Goal Programming; S.M. Lee, D.L. Olson. 9. Reference Point Approaches; A.P. Wierzbicki. 10. Concepts of Interactive Programming; T.J. Stewart. 11. Outranking Approach; P. Vincke. 12. Multi-Criteria Problem Structuring and Analysis in a Value Theory Framework; V. Belton. 13. Fundamentals of Interior Multiple Objective Linear Programming Algorithms; A. Arbel. 14. The Use of Rough Sets and Fuzzy Sets in MCDM; S. Greco, et al. 15. Use of Artificial Intelligence in MCDM; P. Perny, J.-C. Pomerol. 16. Evolutionary Algorithms and Simulated Annealing for MCDM; A.J. Chipperfield, et al. Index.

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