TY - BOOK ID - 4868440 TI - Evaluation and Decision Models with Multiple Criteria : Case Studies AU - Bisdorff, Raymond. AU - Dias, Luis C. AU - Meyer, Patrick. AU - Mousseau, Vincent. AU - Pirlot, Marc. PY - 2015 SN - 9783662468166 3662468158 9783662468159 3662468166 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Economics/Management Science. KW - Operation Research/Decision Theory. KW - Operations Research, Management Science. KW - Finance/Investment/Banking. KW - Economics. KW - Operations research. KW - Economie politique KW - Recherche opérationnelle KW - Management KW - Business & Economics KW - Management Theory KW - Multiple criteria decision making. 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 - Decision making. KW - Finance. KW - Management science. KW - Business and Management. KW - Finance, general. KW - Decision making KW - Operations Research/Decision Theory. KW - Funding KW - Funds KW - Economics KW - Currency question 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:4868440 AB - This book showcases a large variety of multiple criteria decision applications (MCDAs), presenting them in a coherent framework provided by the methodology chapters and the comments accompanying each case study. The chapters describing MCDAs invite the reader to experiment with MCDA methods and perhaps develop new variants using data from these case studies or other cases they encounter, equipping them with a broader perception of real-world problems and how to overcome them with the help of MCDAs. ER -