A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location

Elahe Abdoos; Alimohamad Ahmadvand; Hossein Eghbali

doi:doi:10.11648/j.ijmfs.20180403.13

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A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location

Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali

Published in International Journal of Management and Fuzzy Systems (Volume 4, Issue 3)

Received: 19 June 2017 Accepted: 29 June 2017 Published: 19 September 2018

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Abstract

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.

Published in	International Journal of Management and Fuzzy Systems (Volume 4, Issue 3)
DOI	10.11648/j.ijmfs.20180403.13
Page(s)	53-56
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Locating, Industrial Units Planning, Fuzzy Set Theory, Fuzzy Numbers Distance

References

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APA Style

Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali. (2018). A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. International Journal of Management and Fuzzy Systems, 4(3), 53-56. https://doi.org/10.11648/j.ijmfs.20180403.13

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ACS Style

Elahe Abdoos; Alimohamad Ahmadvand; Hossein Eghbali. A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. Int. J. Manag. Fuzzy Syst. 2018, 4(3), 53-56. doi: 10.11648/j.ijmfs.20180403.13

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AMA Style

Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali. A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. Int J Manag Fuzzy Syst. 2018;4(3):53-56. doi: 10.11648/j.ijmfs.20180403.13

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@article{10.11648/j.ijmfs.20180403.13,
  author = {Elahe Abdoos and Alimohamad Ahmadvand and Hossein Eghbali},
  title = {A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location},
  journal = {International Journal of Management and Fuzzy Systems},
  volume = {4},
  number = {3},
  pages = {53-56},
  doi = {10.11648/j.ijmfs.20180403.13},
  url = {https://doi.org/10.11648/j.ijmfs.20180403.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20180403.13},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location
AU  - Elahe Abdoos
AU  - Alimohamad Ahmadvand
AU  - Hossein Eghbali
Y1  - 2018/09/19
PY  - 2018
N1  - https://doi.org/10.11648/j.ijmfs.20180403.13
DO  - 10.11648/j.ijmfs.20180403.13
T2  - International Journal of Management and Fuzzy Systems
JF  - International Journal of Management and Fuzzy Systems
JO  - International Journal of Management and Fuzzy Systems
SP  - 53
EP  - 56
PB  - Science Publishing Group
SN  - 2575-4947
UR  - https://doi.org/10.11648/j.ijmfs.20180403.13
AB  - 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.
VL  - 4
IS  - 3
ER  -

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Author Information

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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Plain Text BibTeX RIS

APA Style

Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali. (2018). A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. International Journal of Management and Fuzzy Systems, 4(3), 53-56. https://doi.org/10.11648/j.ijmfs.20180403.13

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ACS Style

Elahe Abdoos; Alimohamad Ahmadvand; Hossein Eghbali. A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. Int. J. Manag. Fuzzy Syst. 2018, 4(3), 53-56. doi: 10.11648/j.ijmfs.20180403.13

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AMA Style

Elahe Abdoos, Alimohamad Ahmadvand, Hossein Eghbali. A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location. Int J Manag Fuzzy Syst. 2018;4(3):53-56. doi: 10.11648/j.ijmfs.20180403.13

Copy | Download

@article{10.11648/j.ijmfs.20180403.13,
  author = {Elahe Abdoos and Alimohamad Ahmadvand and Hossein Eghbali},
  title = {A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location},
  journal = {International Journal of Management and Fuzzy Systems},
  volume = {4},
  number = {3},
  pages = {53-56},
  doi = {10.11648/j.ijmfs.20180403.13},
  url = {https://doi.org/10.11648/j.ijmfs.20180403.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20180403.13},
  abstract = {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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - A Novel Algorithm Between Fuzzy Number’s Distance in Facility Location
AU  - Elahe Abdoos
AU  - Alimohamad Ahmadvand
AU  - Hossein Eghbali
Y1  - 2018/09/19
PY  - 2018
N1  - https://doi.org/10.11648/j.ijmfs.20180403.13
DO  - 10.11648/j.ijmfs.20180403.13
T2  - International Journal of Management and Fuzzy Systems
JF  - International Journal of Management and Fuzzy Systems
JO  - International Journal of Management and Fuzzy Systems
SP  - 53
EP  - 56
PB  - Science Publishing Group
SN  - 2575-4947
UR  - https://doi.org/10.11648/j.ijmfs.20180403.13
AB  - 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.
VL  - 4
IS  - 3
ER  -

Copy | Download