Trends in multiple criteria decision analysis [electronic resource] / edited by Matthias Ehrgott, Jose Rui Figueira, Salvatore Greco.

Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Ehrgott, Matthias, Figueira, José, Greco, Salvatore
Format: Electronic eBook
Language:English
Published: New York ; London : Springer, 2010.
Series:International series in operations research & management science ; 142.
Subjects:

MARC

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490 1 |a International series in operations research & management science ;  |v 142. 
505 0 |a Trends in Multiple Criteria Decision Analysis; Contents; List of Figures; List of Tables; Introduction; 1 Dynamic MCDM, Habitual Domains and Competence Set Analysis for Effective Decision Making in Changeable Spaces; 2 The Need for and Possible Methods of Objective Ranking; 3 Preference Function Modelling: The Mathematical Foundations of Decision Theory; 4 Robustness in Multi-criteria Decision Aiding; 5 Preference Modelling, a Matter of Degree; 6 Fuzzy Sets and Fuzzy Logic-Based Methods in Multicriteria Decision Analysis; 7 Argumentation Theory and Decision Aiding. 
504 |a Includes bibliographical references and index. 
520 |a Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents r. 
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