The Asymmetry-Center Probabilistic Fuzzy Set for Freight Turnover Forecasting in Changsha City

Zhong Wei Wang; Yan An

doi:10.4028/www.scientific.net/AMR.706-708.2067

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708The Asymmetry-Center Probabilistic Fuzzy Set for...

The Asymmetry-Center Probabilistic Fuzzy Set for Freight Turnover Forecasting in Changsha City

Abstract:

A freight turnover forecasting is an important issue of the logistics plans of a city. The probabilistic fuzzy set (PFS) is designed for handling the uncertainties in both stochastic and nonstochastic nature. Because of the asymmetric probabilistic fuzzy sets variability and malleability is higher than symmetric one. In this paper, an asymmetry-center probabilistic fuzzy set is proposed by randomly varying the center of asymmetric Gaussian membership function. Then the PFLS with this asymmetric probabilistic fuzzy set is constructed and applied to a freight turnover forecasting. The results show that the asymmetry-center probabilistic fuzzy set improves the accuracy of such system. This work will broaden the application of the probabilistic fuzzy set.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

2067-2070

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.2067

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Online since:

June 2013

Authors:

Zhong Wei Wang, Yan An

Keywords:

Asymmetric Probabilistic Fuzzy Set, Freight Turnover Forecasting, Logistics Plan, Probabilistic Density Function, Random Variation

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