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
[International Series in Operations Research & Management Science] Trends in Multiple Criteria Decision Analysis Volume 142 || Robust Ordinal Regression
✍ Scribed by Ehrgott, Matthias; Figueira, José Rui; Greco, Salvatore
- Book ID
- 120466448
- Publisher
- Springer US
- Year
- 2010
- Tongue
- English
- Weight
- 495 KB
- Edition
- 1
- Category
- Article
- ISBN
- 1441959041
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✦ Synopsis
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 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 MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.
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The Handbook Presents The Most Up-to-date Discussions On Well-established Methodologies And Theories In The Field, While Systematically Surveying Emerging Fields In Mcda Such As Conjoint Measurement, Fuzzy Preferences, Fuzzy Integrals, Rough Sets, Etc. Multiple Criteria Decision Analysis: State Of T
The Handbook Presents The Most Up-to-date Discussions On Well-established Methodologies And Theories In The Field, While Systematically Surveying Emerging Fields In Mcda Such As Conjoint Measurement, Fuzzy Preferences, Fuzzy Integrals, Rough Sets, Etc. Multiple Criteria Decision Analysis: State Of T
The Handbook Presents The Most Up-to-date Discussions On Well-established Methodologies And Theories In The Field, While Systematically Surveying Emerging Fields In Mcda Such As Conjoint Measurement, Fuzzy Preferences, Fuzzy Integrals, Rough Sets, Etc. Multiple Criteria Decision Analysis: State Of T