A probabilistic fuzzy set for uncertaintiesbased modeling in logistics manipulator system. | [Journal of Theoretical and Applied Information Technology • 2012]

Author(s):

1. Yihua Li: College of Transportation and Logistics, Central South University of Forestry & Technology, Changsha 410004, Hunan, China

2. Wenjing Huang: Junior Education Department, Changsha Normal College, Changsha 410100, Hunan, China; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, Hunan, China

Abstract:

The probabilistic fuzzy set (PFS) and the related probabilistic fuzzy logic system (PFLS) are designed for handling the uncertainties in both stochastic and nonstochastic nature. In this paper, a novel probabilistic fuzzy set is proposed by randomly varying widths of the Gaussian membership function. Then the related PFLS is constructed and applied to logistics manipulator system problem to study its stochastic modeling capability. It clearly discloses that the novel PFS perform better than the previous PFS. The work presented can extend the potential application of probabilistic fuzzy set.

Page(s): 977-982

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 2, Year: 2012

Keywords:

Keywords are not available for this article.

References:

References are not available for this document.

Citations

Citations are not available for this document.

Citations

Downloads

Views