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- W1967569714 abstract "There are a lot of approaches in logistics demand forecasting field and perform different characters. The probabilistic fuzzy set (PFS) and probabilistic fuzzy logic system is designed for handling the uncertainties in both stochastic and nonstochastic nature. In this paper, an asymmetric probabilistic fuzzy set is proposed by randomly varying the width of asymmetric Gaussian membership function. And the related PFLS is constructed to be applied to a logistics demand forecasting. The performance discloses that the asymmetry-width probabilistic fuzzy set performs better than precious symmetric one. It is because the asymmetric probabilistic fuzzy sets variability and malleability is higher than this of the symmetric probabilistic fuzzy set." @default.
- W1967569714 created "2016-06-24" @default.
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- W1967569714 date "2013-06-01" @default.
- W1967569714 modified "2023-09-26" @default.
- W1967569714 title "Logistics Demand Forecasting with Asymmetry-Width Probabilistic Fuzzy Logic System" @default.
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- W1967569714 doi "https://doi.org/10.4028/www.scientific.net/amr.706-708.2012" @default.
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