ナガタ　キヨシ   永田　清   経営学部 経営学科   教授

■ 標題   Multi-attribute Decision Making Based on Fuzzy Outranking

■ 概要   Decision maker usually should consider multi-attribute alternatives and choose one or some of them which seems to be best or better than others. Especially in the developed information society, there is a plenty of information for each alternative, and it is not quite easy to find out some of most proper alternatives in view of important attributes. In this paper, we propose a ranking method with uncertainty for multi-attribute alternatives which would help decision maker to decide what alternatives should be proper for a problem he/she is confronting. Since our method is systematically completed with some numerical computations and with fuzzy outranking method, it makes the decision maker possible to concentrate to each attribute and to retain the uncertainty of their priorities up until the final stage.   Kiyoshi Nagata, Michio Amagasa and Hiroo Hirose   共著   The Proceedings of 13th IEEE International Symposium on Computational Intelligence and Informatics   pp.169-174   2012/11

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