Advances in Decision Analysis

1. Front Matter

   Pages i-ix

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2. Fuzzures and Futurgets

   • Hervé Raynaud

   Pages 1-12

3. Conjoint Measurement without Additivity and Transitivity

   • Denis Bouyssou, Marc Pirlot

   Pages 13-29

4. Choice from Comparisons: A Survey of Game-Theoretical Methods

   • Jean-François Laslier

   Pages 31-46

5. A Step to Life Decision Problems: Verbal Decision Analysis

   • Oleg I. Larichev

   Pages 47-67

6. The Chaining Interaction Index among Players in Cooperative Games

   • Jean-Luc Marichal, Marc Roubens

   Pages 69-85

7. DEA and MCDA: Competing or Complementary Approaches?

   • Valerie Belton, Theodor J. Stewart

   Pages 87-104

8. Comparison of MCDA Paradigms

   • D. L. Olson, A. I. Mechitov, H. Moshkovich

   Pages 105-119

9. Multi-Attribute Selection Using Discrete Frontier Profiling

   • Chris Tofallis

   Pages 121-130

10. The MACBETH Approach: Basic Ideas, Software, and an Application

    • Carlos A. Bana E Costa, Jean-Claude Vansnick

    Pages 131-157

11. Applying ELECTRE to an Option Choice Problem within an Environmental Appraisal — Three Case Studies from the Republic of Ireland

    • Martin Rogers, Michael Bruen

    Pages 159-200

12. Back Matter

    Pages 201-203

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The present book fmds its roots in the International Conference on Methods and Applications of Multiple Criteria Decision Making held in Mons in May 1997. A small number of contributions to that conference were selected via a refereeing procedure and retained authors were requested to include in their final version their more recent results. This explains why some papers differ significantly from the original presentation. The introductory paper of Raynaud addresses the long range forecasts in Multiple Criteria Decision Making on the basis of a Delphi process that was run before and during the congress. In a second part, the French author explains how he and some of his partners could find the proof of an important conjecture : the iteration of a strongly monotonic choice function is not a strongly monotonic ranking function. The second part of the book covers methodological aspects of decision theory. The contribution of Bouyssou and Pirlot concerns the reformulation of classical conjoint measurement models that induce a complete and transitive preference binary relation on the set of alternatives which seem to be unrealistic when decision makers are asked to compare objects evaluated on several attributes. The authors propose to consider non transitive, non complete and non additive decomposable conjoint models. They define properties that characterize such models.

• Attribut
• Data Envelopment Analysis
• Data-Envelopment-Analysis
• calculus
• data envelopment
• decision theory
• multi-criteria decision analysis

• Department of Applied Mathematics, FUCAM University, Mons, Belgium

  Nadine Meskens

• Institute of Mathematics, University of Liège, Liege, Belgium

  Marc Roubens

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