Multiple-attribute decision making with interactive estimation of user preference

Junichi Murata, Kentaro Kitahara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The aim of multi-objective optimization or multiple-attribute decision making is to find the most appropriate solution among Pareto solutions. Usually, decision makers are in charge of evaluating and rating objective functions or attributes. However, in a good number of practical decision making problems especially in the area of public services e.g. determining the service contents of public transport, the decision makers determine the service contents while the users evaluates the quality of the service. In these problems where decision makers and evaluators are different, an effective method is necessary that can estimate the preferences of the evaluators (users). In the paper, an interactive method is proposed that estimates or learns the user preferences and finds the solution based on the estimated results.

Original languageEnglish
Title of host publicationProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
PublisherACTA Press
Pages43-49
Number of pages7
ISBN (Print)9780889868182
DOIs
Publication statusPublished - 2010
Event10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010 - Innsbruck, Austria
Duration: Feb 15 2010Feb 17 2010

Publication series

NameProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010

Other

Other10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
Country/TerritoryAustria
CityInnsbruck
Period2/15/102/17/10

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Multiple-attribute decision making with interactive estimation of user preference'. Together they form a unique fingerprint.

Cite this