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  • 标题:ラフ集合による新しいコンジョイント分析の提案
  • 本地全文:下载
  • 作者:Kazutomi SUGIHARA ; Hiroaki ISHII ; Hideo TANAKA
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2003
  • 卷号:15
  • 期号:4
  • 页码:421-428
  • DOI:10.3156/jsoft.15.421
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:Conjoint analysis is a method for deriving the part worth value of each factor from the total evaluations. In conjoint analysis, it is generally assumed that the value function is pre-defined as the additive and transitive model. However, there exist many cases in which the pre-defined value function is not appropriate to real situations. In this paper, we propose conjoint analysis based on rough sets approximated by Dominance relations. In our method, preference structure in decision making problems can be represented by IF-Then rules and better combinations of factors than the given ones in the given information system can be found by partial order relations.
  • 关键词:Conjoint analysis ; Rough sets ; Dominance relations ; Interval regression
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