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.

Provides a "decision aiding methodology" based on the science of formal decision models that a decision analyst can apply to many decision problems with maximum flexibility The authors' unique decision aiding process is discussed step-by-step throughout the book. A step-by-step icon is placed in the margin whenever a decision aiding 'stepping stone' is discussed or a conclusion is presented Numerous examples and real world applications are used throughout the book to illustrate the primary components of the authors' decision-aiding processes of (1) developing a representation of the problem, (2) formulating the problem, (3) creating an evaluation model, and making a final recommendation Includes supplementary material: sn.pub/extras

Inhalt
and Preview.- Problem Formulation and Structuring: The Decision Aiding Process.- Numbers and Preferences.- Aggregation-Overture.- Aggregation Procedures.- Multi-Dimensional Preference Models.- Making Recommendation.- Conclusion and Perspectives.