DocumentCode
552459
Title
A new method for fuzzy interpolative reasoning based on the slopes of fuzzy sets
Author
Chen, Shyi-Ming ; Hsin, Wen-chyuan ; Chang, Yu-Chuan
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Volume
1
fYear
2011
fDate
10-13 July 2011
Firstpage
137
Lastpage
141
Abstract
In this paper, we present a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the slopes of fuzzy sets. We also make an experiment to deal with the computer activity prediction problem to compare the fuzzy interpolative reasoning results of the proposed method with the ones of the existing methods. The experimental results show that the proposed fuzzy interpolative reasoning method outperforms the existing methods to deal with the computer activity prediction problem.
Keywords
fuzzy reasoning; fuzzy set theory; interpolation; computer activity prediction problem; fuzzy interpolative reasoning method; fuzzy sets; slopes; sparse fuzzy rule-based systems; Cognition; Computers; Cybernetics; Fuzzy sets; Interpolation; Machine learning; Testing; Fuzzy interpolative reasoning; Fuzzy sets; Slopes; Sparse fuzzy rule-based systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016696
Filename
6016696
Link To Document