A New Method for Fuzzy Interpolative Reasoning in Sparse Fuzzy Rule-Based Systems

被引：0

作者：

Chang, Yu-Chuan ^{[1
]}

Chen, Shyi-Ming ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) | 2012年

关键词：

Fuzzy interpolative reasoning; polygonal membership functions; multiple fuzzy rules interpolation; sparse fuzzy rule-based systems; MEMBERSHIP FUNCTIONS; TRANSFORMATIONS; EXTRAPOLATION; SPACES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. The proposed method not only can deal with multiple fuzzy rules interpolation based on polygonal membership functions, but also can overcome the drawbacks of the existing methods. It also guarantees the convexity of fuzzy interpolative reasoning results. The experimental result shows that the proposed method can generate more reasonable fuzzy interpolative reasoning results than the existing methods for sparse fuzzy rule-based systems.

引用

页码：400 / 405

页数：6

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