A probabilistic fuzzy logic system for uncertainty modeling

Zhi Liu; Han-Xiong Li

doi:10.1109/ICSMC.2005.1571747

Author(s)

Zhi Liu
Han-Xiong Li

Detail(s)

Original language	English
Pages (from-to)	3853-3858
Journal / Publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	4
Publication status	Published - 2005

Conference

Title	IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics
Place	United States
City	Waikoloa, HI
Period	10 - 12 October 2005

Link(s)

DOI	DOI https://doi.org/10.1109/ICSMC.2005.1571747 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-27944487520&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(188ec9ab-be0d-4b56-826a-cab15eb75b1b).html

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. © 2005 IEEE.