Inverse analysis from a Condorcet robustness denotation of valued outranking relations

Bisdorff, Raymond; Meyer, Patrick; Veneziano, Thomas

Reference : Inverse analysis from a Condorcet robustness denotation of valued outranking relations


	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/23454

Title :	Inverse analysis from a Condorcet robustness denotation of valued outranking relations
Language :	English
Author, co-author :	Bisdorff, Raymond [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Meyer, Patrick [Télécom Bretagne. France > UMR CNRS 3192 Lab-STICC]
	Veneziano, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2009
Main document title :	Algorithmic Decision Theory
Editor :	Rossi, Francesca
	Tsoukiás, Alexis
Publisher :	Springer
Collection and collection volume :	Lecture Notes in Artficial Intelligence (LNAI) 5783
Pages :	180-191
Peer reviewed :	Yes
ISBN :	9783642044274
City :	Berlin; Heidelberg
Keywords :	[en] Inverse Multiple Criteria Decision Analysis, Significance ; Weights Ellicitation ; Uncertainty ; Robustness
Abstract :	[en] In this chapter we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pairwise outranking statements in a Multiple Criteria Decision Aiding process. The main result consists in showing that with the help of a mixed integer linear programming model this kind of a priori knowledge is sufficient for estimating adequate numerical significance weights.
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/23454
Other URL :	http://charles-sanders-peirce.uni.lu/bisdorff/documents/adt2009.pdf

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