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

fYear

2012

fDate

2-4 July 2012

Firstpage

58

Lastpage

62

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications (CIMSA), 2012 IEEE International Conference on

Conference_Location

Tianjin

ISSN

2159-1547

Print_ISBN

978-1-4577-1778-9

Type

conf

DOI

10.1109/CIMSA.2012.6269605

Filename

6269605