Logistics Demand Forecasting with Asymmetry-Width Probabilistic Fuzzy Logic System

• DOI: 10.4028/www.scientific.net/amr.706-708.2012
• Publication Date: 2013-06-13T14:25:58Z
• Authors: Zhong Wei Wang; Li Xin Lu
• Keywords: Defuzzification

There are a lot of approaches in logistics demand forecasting field and perform different characters. The probabilistic fuzzy set (PFS) logic system is designed for handling the uncertainties both stochastic nonstochastic nature. In this paper, an asymmetric proposed by randomly varying width Gaussian membership function. And related PFLS constructed to be applied forecasting. performance discloses that asymmetry-width performs better than precious symmetric one. It because sets variability malleability higher set.