ENGLISH

Trends in multiple criteria decision analysis

By Matthias Ehrgott , Po-Lung Yu , Yen-Chu Chen (auth.) , José Rui Figueira , Salvatore Greco (eds.)

Book information

Publisher
Springer US
Year
2010
ISBN
1441959033, 9781441959034
DOI
10.1007/978-1-4419-5904-1
Language
english
Format
PDF
Filesize
4 MB (3979025 bytes)
Series
International Series in Operations Research & Management Science 142
Edition
1
Pages
412\429
Topic
Psychology
Library
Kolxo3
Time added
2011-07-22 07:35:22
Mathematical ProgrammingOperations Research/Decision Theory; Game Theory/M

Description

Multiple Criteria Decision Analysis (MCDA) 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, MCDA 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 about MCDA (all in the ISOR series), and it brings all the latest advancements into focus. Looking at developments in the applications, methodologies and foundations of MCDA, it presents research from leaders in the field on such topics as Problem Structuring Methodologies, Measurement Theory and MCDA, Recent Developments in Evolutionary Multiobjective Optimization, Habitual Domains and Dynamic MCDA in Changeable Spaces, Stochastic Multicriteria Acceptability Analysis, Robust Ordinal Regression, and many more challenging issues.

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