Title :
A new method of fuzzy interpolative reasoning for the sparse fuzzy rule
Author :
Wang, Tao ; Liu, Yuhang ; Chen, Yang
Author_Institution :
Dept. of Math. & Phys., Liaoning Univ. of Technol., Jinzhou
Abstract :
In this paper, a new fuzzy interpolative reasoning method is proposed for the sparse base rule bases by using on the highest points and slopes of the fuzzy sets in rule. The proposed fuzzy reasoning methods are not only suitable for the four cases of antecedent and consequent fuzzy membership functions, but also can guarantee the convexity and normality of the reasoning consequence. Furthermore, the computation is simpler than the existing fuzzy interpolative reasoning methods [Shi and Hsiao].
Keywords :
fuzzy reasoning; fuzzy set theory; knowledge based systems; fuzzy interpolative reasoning; fuzzy sets; highest points; slopes; sparse fuzzy rule; sparse rule base; Fuzzy reasoning; Fuzzy Interpolative Reasoning; Highest Point; Slopes; Sparse Rule Base;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597824
