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

Francesc Prats, Mónica Sánchez, N. Agell, Gaizka Ormazabal

Research output: Book chapterConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationCurrent Topics in Artificial Intelligence - 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Revised Selected Papers
PublisherSpringer Verlag
Pages133-142
Number of pages10
ISBN (Print)3540459146, 9783540459149
DOIs
Publication statusPublished - 2006
Event11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005 - Santiago de Compostela, Spain
Duration: 16 Nov 200518 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4177 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005
Country/TerritorySpain
CitySantiago de Compostela
Period16/11/0518/11/05

Fingerprint

Dive into the research topics of 'An evaluation method with imprecise information for multi-attribute decision support'. Together they form a unique fingerprint.

Cite this