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dc.contributor.author陳錫明
dc.contributor.author鐘偉滋
dc.contributor.author蕭文豪
dc.date.accessioned2009-08-23T04:44:40Z
dc.date.accessioned2020-08-06T07:15:36Z-
dc.date.available2009-08-23T04:44:40Z
dc.date.available2020-08-06T07:15:36Z-
dc.date.issued2007-01-13T06:23:19Z
dc.date.submitted1995-12-21
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2377/3394-
dc.description.abstractIn this paper, we propose a new method for bidirectional approximate reasoning using interval-valued fuzzy sets. The proposed method is more flexible than the one presented in[1] due to the fact that it allows the fuzzy terms appearing in the fuzzy production rules of a rule-based system to be represented by interval-valued fuzzy sets rather than general fuzzy sets. Furthermore, the proposed method can be executed much faster and more flexible than the single-input-single-output approximate reasoning method presented in [11].
dc.description.sponsorship元智工學院,中壢市
dc.format.extent6p.
dc.format.extent330185 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1995 NCS會議
dc.subjectbidirectional approximate reasoning
dc.subjectfuzzy production rule
dc.subjectinterval-valued fuzzy set
dc.subjectknowledge base
dc.subjectrule-based system
dc.subject乏晰生產規則
dc.subject雙向近似推理
dc.subject區間值乏晰集合
dc.subject知識庫
dc.subject規則式系統
dc.subject.otherArtificial Intelligence
dc.subject.otherExpert Systems
dc.title利用區間值乏晰集合作雙向近似推理之新方法
dc.title.alternativeA New Method For Bidirectional Approximate Reasoning Using Interval-Valued Fuzzy Sets
分類:1995年 NCS 全國計算機會議

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