Title :
Weighted fuzzy interpolative reasoning based on interval type-2 fuzzy sets
Author :
Lee, Li-wei ; Chen, Shyi-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
Abstract :
In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based system based on interval type-2 fuzzy sets. Based on the ranking values of interval type-2 fuzzy sets, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. We also use an example to illustrate the proposed weighted fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. The proposed method provides us a useful way to deal with weighted fuzzy interpolative reasoning based on the ranking values of interval type-2 fuzzy sets.
Keywords :
fuzzy set theory; inference mechanisms; interpolation; knowledge based systems; interval type-2 fuzzy sets; sparse fuzzy rule-based system; weighted fuzzy interpolative reasoning; Computer science; Cybernetics; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Knowledge based systems; Machine learning; Fuzzy interpolative reasoning; Interval type-2 fuzzy sets; Ranking values; Weighted fuzzy interpolative reasoning;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620988
