Title :
A novel probabilistic fuzzy set for uncertainties-based integration inference
Author :
Huang, Wen-Jing ; Zhang, Geng ; Li, Han-Xiong
Author_Institution :
Sch. of Mech. & Electr. Eng., Central South Univ., Changsha, China
Abstract :
The probabilistic fuzzy set and the related probabilistic fuzzy logic system is designed for handling the uncertainties with both stochastic and fuzzy features. In this paper, based on the review of probabilistic fuzzy logic system, a novel probabilistic fuzzy set is proposed. It considers random variation from center in the triangular membership function. The work presented will improve the potential application of probabilistic fuzzy sets.
Keywords :
fuzzy reasoning; fuzzy set theory; random processes; stochastic processes; uncertainty handling; fuzzy features; probabilistic fuzzy logic system; probabilistic fuzzy set; random variation; stochastic features; triangular membership function; uncertainties-based integration inference; uncertainty handling; Educational institutions; Fuzzy logic; Fuzzy sets; Fuzzy systems; Probabilistic logic; Stochastic processes; Uncertainty; membership fuction; probability fuzzy set; secondary probabilistic density function;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2012 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4577-1778-9
DOI :
10.1109/CIMSA.2012.6269605
