Fuzzy models in logistics: Approaches and examples
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CitationDorokhov, O., Chernov, V. ve Dorokhova, L. (2018). Fuzzy models in logistics: Approaches and examples. International Congress on Business and Marketing. s. 274-287.
The difficulties of using classical probability-statistical methods in the problems of logistics are described. The necessity and expediency of using for these problems (under conditions of uncertainty and indistinctness of actual information) the methods based on the theory of fuzzy sets is substantiated. Fuzzy multiple approaches to such tasks as optimization of transport distribution and customer service processes, risk assesment using fuzzy conditional certificates, placement of distribution warehousing centers at the service ground have been conceptually presented. Also, are given features of the application for logistics tasks so-called fuzzy sets of the second order. The proposed approaches provide a more capacious and adequate representation of logistics information, which allows to realize more accurate calculations and thereby increase the economic efficiency of logistical optimization.
SourceInternational Congress on Business and Marketing
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