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Evaluating and Applying Decision Models

Vol. 1: Evaluation and Decision Models: A critical perspective; Vol. 2: Evaluation and Decision Models w. Multiple Criteria: Stepping Stones for the Analyst

Medium: Buch
ISBN: 978-0-387-71888-0
Verlag: Springer-Verlag New York Inc.
Erscheinungstermin: 16.03.2007
Lieferfrist: bis zu 10 Tage

In the first volume of the set, Evaluation and Decision Models: A Critical Perspective, the purpose is to provide a critical thinking framework for all individuals utilizing decision and evaluation models, whether it be for research or applications. In the book, the authors criticized formal models while pointing out where these models can be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide, a way of reasoning aimed at helping the analyst to choose a model and use it consistently. The authors propose, often using an axiomatic point of view, a sound analysis of techniques aimed at supporting the decision aiding process. The presentation is carried out within a unique framework that can be extended to most decision and evaluation models, as a "decision aiding methodology".


Produkteigenschaften


  • Artikelnummer: 9780387718880
  • Medium: Buch
  • ISBN: 978-0-387-71888-0
  • Verlag: Springer-Verlag New York Inc.
  • Erscheinungstermin: 16.03.2007
  • Sprache(n): Englisch,Deutsch
  • Auflage: 2007 ed
  • Serie: International Series in Operations Research & Management Science
  • Produktform: Gebunden
  • Gewicht: 1423 g
  • Seiten: 730
  • Format (B x H x T): 171 x 248 x 56 mm
  • Ausgabetyp: Kein, Unbekannt

Themen


Autoren/Hrsg.

Autoren

Vol. I: Introduction.- Choosing on The Basis of Several Opinions.- Building and Aggregating Evaluations.- Constructing Measures.- Assessing Competing Projects.- Comparing on Several Attributes.- Deciding Automatically.- Dealing with Uncertainty.- Supporting Decisions.- Appendix A.- Appendix B.- Conclusion.- Bibliography.- Index. Vol. II: Introduction.- Problem Formulation and Structuring.- Numbers and Preferences.- Aggregation - Overture.- Aggregation Procedures.- Multi-Dimensional Preference Models.- Making Recommendation.- Conclusion.- Bibliography.- Name Index.- Subject Index.