Title :
Extending fuzzy inference model by both grey relational method and extension theory
Author :
Huang, Yo-Ping ; Chen, Hong-Jin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng, Dayeh Univ., Changhwa, Taiwan
Abstract :
A new extended fuzzy model is proposed in this paper. The newly established extension theory is integrated into the conventional fuzzy system to enhance the reasoning capability. Not only the sample data located at the classical fuzzy set have effect to adjust the mapped membership function, but also the data in the neighboring regions are simultaneously considered. Simulation results from the extended fuzzy model are given and the comparisons with the results from ellipsoidal fuzzy method and other approaches are also made
Keywords :
fuzzy set theory; fuzzy systems; grey systems; inference mechanisms; ellipsoidal fuzzy method; extended fuzzy inference model; extension theory; fuzzy system; grey relational method; reasoning capability; Computer science; Decision making; Entropy; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Input variables; Logic; Optimization methods; Parameter estimation;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.728195