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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016696