Title :
A probabilistic fuzzy logic system for uncertainty modeling
Author :
Liu, Zhi ; Li, Han-Xiong
Author_Institution :
Sch. of Autom., Guangdong Univ. of Technol., China
Abstract :
A probabilistic fuzzy logic system (PFLS) is proposed for the modeling and control problems. In addition to the traditional fuzzification, inference engine and defuzzification operation for processing fuzzy information, it uses the probabilistic modeling method to improve the stochastic modeling capability. With a proper three-dimensional membership function, the PFLS could be designed to handle the effect of random noise and stochastic uncertainties in the modeling process. The simulation result shows that the proposed PFLS can treat the uncertainty modeling problem well.
Keywords :
fuzzy logic; fuzzy reasoning; probabilistic logic; stochastic processes; uncertainty handling; 3D membership function; control problem; defuzzification operation; fuzzification; fuzzy information processing; inference engine; probabilistic fuzzy logic system; probabilistic modeling; random noise; stochastic modeling; stochastic uncertainty; uncertainty modeling; Engines; Fuzzy logic; Fuzzy sets; Manufacturing automation; Power system control; Power system modeling; Stochastic processes; Stochastic resonance; Training data; Uncertainty; Probabilistic fuzzy logic system; probabilistic fuzzy set; uncertainty modeling;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571747