Title of article
Weighted fuzzy interpolative reasoning systems based on interval type-2 fuzzy sets
Author/Authors
Shyi-Ming Chen، نويسنده , , Li-Wei Lee، نويسنده , , Victor R.L. Shen، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
16
From page
15
To page
30
Abstract
In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets. We also apply the proposed weighted fuzzy interpolative reasoning method to deal with the truck backer-upper control problem. The proposed method satisfies the seven evaluation indices for fuzzy interpolative reasoning. The experimental results show that the proposed method outperforms the existing methods. It provides us with a useful way for dealing with fuzzy interpolative reasoning in sparse fuzzy rule-based systems.
Keywords
Fuzzy interpolative reasoning , Interval type-2 fuzzy sets , Weighted fuzzy interpolative reasoning , Sparse fuzzy rule-based systems
Journal title
Information Sciences
Serial Year
2013
Journal title
Information Sciences
Record number
1215790
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