| Project/Area Number |
25730151
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Soft computing
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| Research Institution | Kwansei Gakuin University |
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Principal Investigator |
SEKI Hirosato 関西学院大学, 理工学部, 契約助手 (10583693)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | ソフトコンピューティング / ファジィシステム / Type-1・Type-2ファジィシステム / 等価性 / ファジィ入力 / 適合度関数 / Type-2ファジィシステム |
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| Outline of Final Research Achievements |
In this study, a type-2 single input connected fuzzy inference model and a type-2 fuzzy inference model with fuzzy inputs are proposed. Although the antecedent parts of the type-2 fuzzy single input connected fuzzy inference model is type-2 fuzzy sets, the number of rules become small. On the other hands, although the antecedent parts of the type-2 fuzzy inference model with fuzzy inputs uses type-1 fuzzy sets, type-2 fuzzy sets can be obtained by using type-1 fuzzy sets and fuzzy inputs. Moreover, this study shows that the inference results of the proposed models can be easily obtained by area method based on the equivalence properties.
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