Denis Bouyssou, Thierry Marchant, Marc Pirlot, Alexis Tsoukias, Philippe Vincke

Evaluation and Decision Models with Multiple Criteria (eBook, PDF)

Stepping stones for the analyst

• Format: PDF

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer US
• Erscheinungstermin: 7. Juni 2006
• Englisch
• ISBN-13: 9780387310992
• Artikelnr.: 37287079

Autorenporträt

Denis Bouyssou, CNRS, LAMSADE, Paris, France / Thierry Marchant, Universiteit Gent, Belgium / Marc Pirlot, Polytechnique de Mons, Belgium / Alexis Tsoukias, CNRS, LAMSADE, Paris, France / Philippe Vincke, Université Libre de Bruxelles, Belgium

Inhaltsangabe

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.

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Introduction.- Problem formulation and structuring.- Numbers and preferences.- Aggregation overture.- Aggregation procedures.- Multi-dimensional preference models.- Making recommendation.- Conclusion.- Bibliography.- Name index.- Subject index.

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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.