Evaluation and Decision Models with Multiple Criteria
Case Studies
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Beschreibung
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.
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.
Illustrates the rich diversity of aspects typical of multiple criteria decision application (MCDA) problems Chapters are critically reviewed to support the decision-making process Includes theoretical background as well as practical cases and support tools for MCDAs
Autor*in
Raymond Bisdorff
Themen in »Evaluation and Decision Models with Multiple Criteria«
MCDA for personal financial planning Multi-criteria decision analysis (MCDA) decision aiding process fuzzy methodology geographic information system (GIS) multi-criteria assessment of data centers multi-criteria evaluation-based framwork real life multi-criteria decision making
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“The joint effort of editors and authors of this book resulted in a unique work in the field of multiple criteria decision applications (MCDAs). … It can serve as a very reliable guide to decision makers in real life. … an outstanding book on ‘evaluation and decision models with multiple criteria’ indispensable for problem solvers in business, industry, and government. Obligatory for academics, professional researchers and graduate students.” (Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 1 (4), 2015)
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