Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
21
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Basic Study on Maximizing Decision in Fuzzy Decision
Jiro INAIDANorihiro MISAKI
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Pages 102-103

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Abstract
Many decision making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. The fuzzy theory was proposed to analyze the inexact information such as human behavior and recognition, It has updatingly been applied not only to natural science but also social and human sciences. In this paper, we discuss the analytic method about the maximizing decision in fuzzy decision.
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© 2008 Biomedical Fuzzy Systems Association
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