Multiple-attribute decision making with interactive estimation of user preference

Junichi Murata, Kentaro Kitahara

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
出版社ACTA Press
ページ43-49
ページ数7
ISBN(印刷版)9780889868182
DOI
出版ステータス出版済み - 2010
イベント10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010 - Innsbruck, オーストリア
継続期間: 2月 15 20102月 17 2010

出版物シリーズ

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

その他

その他10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
国/地域オーストリア
CityInnsbruck
Period2/15/102/17/10

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用

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