The Fuzzy Optimal Solution of Fuzzy Transport Problems Using A New Fuzzy Least Cost Method

DOI

10.2991/miseic-19.2019.18How to use a DOI?

Keywords

Ranking fuzzy numbers, Fuzzy transport problem, New fuzzy least cost method, New ranking method, SAW

Abstract

The fuzzy transport algorithms is used by researchers for finding optimal solution of Fuzzy Transport Problem (FTP), one of them is the Least Cost Method or LCM. The concept of LCM is to choose the least cost from the FTP table to be used as the base cell. If there is the same lowest cost, it is freely chosen. However, the free election will affect the value and optimal fuzzy solutions obtained. Therefore, the fuzzy LCM as new method is proposed by adding weights using Simple Additive Weighting or SAW technique and new total integral value so that there will be unequal least costs. To illustrate the new proposed method, the completion of numerical examples is given and the results are reviewed with the results of the existing method. The advantages of the new proposed method can improve the shortcomings of the existing methods, as well as relevant to solving fuzzy transport problems in real life for use by decision makers.

Copyright

© 2019, 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  - Farikhin Farikhin
AU  - Muhammad Sam'an
AU  - Bayu Surarso
AU  - Bambang Irwanto
PY  - 2019/12
DA  - 2019/12
TI  - The Fuzzy Optimal Solution of Fuzzy Transport Problems Using A New Fuzzy Least Cost Method
BT  - Proceedings of the Mathematics, Informatics, Science, and Education International Conference (MISEIC 2019)
PB  - Atlantis Press
SP  - 48
EP  - 53
SN  - 2352-538X
UR  - https://doi.org/10.2991/miseic-19.2019.18
DO  - 10.2991/miseic-19.2019.18
ID  - Farikhin2019/12
ER  -