Evaluation And Decision Models With Multiple Criteria
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Evaluation and Decision Models with Multiple Criteria
Author: Denis Bouyssou
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-06-07
Formal decision and evaluation models are sets of explicit and well-defined rules to collect, assess, and process information in order to be able to make recommendations in decision and/or evaluation processes. They are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. Our earlier companion volume, Evaluation and Decision Models, heavily criticised formal models but also argued that they could be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide aimed at helping the analyst to choose a model and use it consistently. We propose a sound analysis of techniques and our presentation can be extended to most decision and evaluation models as a "decision aiding methodology". This volume is intended for the enlightened practitioner, for anyone who uses decision or evaluation models---for research or for applications---and is willing to question his practice, to have a deeper understanding of what he does.
Evaluation and Decision Models with Multiple Criteria
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.
Evaluation and Decision Models
Author: Denis Bouyssou
language: en
Publisher: Springer Science & Business Media
Release Date: 2000-11-30
This text provides a critical thinking framework for all individuals utilizing decision and evaluation models. It argues that there is no best decision or evaluation model but that decision-makers must understand the principles of formal evaluation and decision models and apply them critically.