Realization of Fast Calculation Method of Type-2 Fuzzy Inference Model

2014 Fiscal Year Final Research Report

• Project/Area Number: 25730151
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Soft computing
• Research Institution: Kwansei Gakuin University
• Principal Investigator: SEKI Hirosato 関西学院大学, 理工学部, 契約助手 (10583693)
• Project Period (FY): 2013-04-01 – 2015-03-31
• 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

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.

Free Research Field

ソフトコンピューティング