TY - BOOK ID - 8582162 TI - Trends in multiple criteria decision analysis AU - Ehrgott, Matthias. AU - Figueira, Jose Rui. AU - Greco, Salvatore. PY - 2010 SN - 1441959033 9786612980442 1441959041 1282980440 PB - New York : Springer, DB - UniCat KW - Multiple criteria decision making. KW - Multiple criteria decision making KW - Management KW - Civil & Environmental Engineering KW - Business & Economics KW - Engineering & Applied Sciences KW - Operations Research KW - Management Theory KW - Mathematical models KW - Decision making with multiple objectives KW - MCDM (Decision making) KW - Multiattribute decisions KW - Multicriteria decision analysis KW - Multicriteria decision making KW - Multicriteria decision making analysis KW - Multiobjective decision making KW - Multiple objective decision making KW - Business. KW - Operations research. KW - Decision making. KW - Management science. KW - Economic theory. KW - Business and Management. KW - Operation Research/Decision Theory. KW - Economic Theory/Quantitative Economics/Mathematical Methods. KW - Operations Research, Management Science. KW - Decision making KW - Operations Research/Decision Theory. KW - Economic theory KW - Political economy KW - Social sciences KW - Economic man KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Quantitative business analysis KW - Problem solving KW - Operations research KW - Statistical decision KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management decisions KW - Choice (Psychology) UR - https://www.unicat.be/uniCat?func=search&query=sysid:8582162 AB - 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. ER -