Title of article
Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets
Author/Authors
Chen، نويسنده , , Shyi-Ming and Lee، نويسنده , , Li-Wei، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
11
From page
9947
To page
9957
Abstract
Fuzzy rule interpolation is an important research topic of sparse fuzzy rule-based systems. In this paper, we present a new fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can deal with fuzzy interpolative reasoning in sparse fuzzy rule-based systems in a more flexible and more intelligent manner.
Keywords
Interval type-2 fuzzy sets , Fuzzy interpolative reasoning , Ranking values , Sparse fuzzy rule-based systems
Journal title
Expert Systems with Applications
Serial Year
2011
Journal title
Expert Systems with Applications
Record number
2349809
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