Method of Solving Multi-Index Distribution Tasks with Fuzzy Parameters

DOI

10.2991/itsmssm-17.2017.15How to use a DOI?

Keywords

multi-index distribution tasks, fuzzy optimization, approximate methods, uncertainty of source data, fuzzy interval method

Abstract

Resource allocation systems are characterized by a large number of elements and connections between them, a high degree of dynamism, which leads to the fact that the system operates under conditions of uncertainty of the external and internal environment. The need to solve high-dimensional distribution tasks in conditions of uncertainty and fuzziness requires the development of appropriate information and mathematical support. The method of solving multi-index transport problems taking into account the indeterminacy of the demand parameters and the cost of cargo transportation is considered in this article. A software application was developed to solve a multi-index distribution problem with fuzzy parameters. The software product is developed in the programming environment 1C v8.3. The article contains interface windows that implement the user's dialogue with the software application.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alexander Bozhenyuk
AU  - Olesya Kosenko
PY  - 2017/12
DA  - 2017/12
TI  - Method of Solving Multi-Index Distribution Tasks with Fuzzy Parameters
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 68
EP  - 72
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.15
DO  - 10.2991/itsmssm-17.2017.15
ID  - Bozhenyuk2017/12
ER  -