A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location
International Journal of Management and Fuzzy Systems
Volume 4, Issue 3, September 2018, Pages: 53-56
Received: Jun. 19, 2017; Accepted: Jun. 29, 2017; Published: Sep. 19, 2018
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Elahe Abdoos, Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran
Alimohamad Ahmadvand, University of Eyvanekey, Eyvanekey, Iran
Hossein Eghbali, Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran
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Measuring the distance is one of the most important components in planning industrial units. Since human words and reasons are vague and imprecise, the distance between fuzzy numbers in most industrial units is required in real-world decision-making and planning. In many cases, ranking occur in fuzzy conditions which obtained information is uncertain, thus it creates a possibility of confusion for the designer in ranking problems. In this study, first the importance and application of distance in industrial units ranking and expressed some ranking methods are dealt, then a new algorithm will be provided for the distance between two fuzzy numbers which is more precise and quicker than previous methods. The proposed method can be a very suitable management strategy to implement it in reality.
Locating, Industrial Units Planning, Fuzzy Set Theory, Fuzzy Numbers Distance
To cite this article
Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali, A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location, International Journal of Management and Fuzzy Systems. Vol. 4, No. 3, 2018, pp. 53-56. doi: 10.11648/j.ijmfs.20180403.13
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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