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Application of fuzzy composition for logistics flows modeling


Nikishov S.I.
(about the author)

Nikishov Sergey Ivanovich – (The Russian Presidential Academy of National Economy and Public Administration)

Published in:
Russian Journal of Innovation Economics
– Volume 7, Number 3 (July-September 2017)

JEL classification: C45, O32, O33

Keywords: coplanar flows, fuzzy relations, fuzzy set theory, information logistics, innovative logistics, logistic flows


Citation:
Nikishov S.I. (2017). Application of fuzzy composition for logistics flows modeling. Russian Journal of Innovation Economics, 7(3), 247-256. doi: 10.18334/vinec.7.3.38197


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Abstract:

This article considers the issue of information redundancy and the problem of communications between participants of logistics market in the context of information overflow. It illustrates the application of fuzzy logic for logistics flows modeling using the example of the composition of fuzzy relations for further automation of decision-making processes. The article also describes the features of coplanar flows.








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