A Probabilistic Fuzzy Set for Uncertainties- Based Modeling in Logistics Manipulator System
نویسندگان
چکیده
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.
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