An evaluation method with imprecise information for multi-attribute decision support

Francesc Prats, Mónica Sánchez, Núria Agell, Gaizka Ormazabal

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

This paper presents a method using intervals for representing and synthesizing imprecise information for multi-attribute evaluation and decision-making support. An implementation is given for selecting an alternative for a project in a real case in the context of construction in civil engineering. As a previous step to aggregate the available information, a methodology is proposed for summarizing and normalizing values in an intervals context, representing the alternatives by means of rectangles in ℝn (products of n finite closed intervals in ℝ). A distance is introduced in the set of rectangles, defining a total order once a reference rectangle is considered. A method is given for the choice of the best alternative based on the comparison of distances to a reference rectangle. The constraints which guarantee consistency are determined and the consistency of the method is established.

Idioma originalAnglès
Títol de la publicacióCurrent Topics in Artificial Intelligence - 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Revised Selected Papers
EditorSpringer Verlag
Pàgines133-142
Nombre de pàgines10
ISBN (imprès)3540459146, 9783540459149
DOIs
Estat de la publicacióPublicada - 2006
Esdeveniment11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005 - Santiago de Compostela, Spain
Durada: 16 de nov. 200518 de nov. 2005

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum4177 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005
País/TerritoriSpain
CiutatSantiago de Compostela
Període16/11/0518/11/05

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