| Peer-Reviewed

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

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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[17] Liu, X. (1992). Entropy, distance measure and similarity measure of fuzzy sets and their relations, Fuzzy Sets and Systems, 52 (3), 305-318.
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Cite This Article
  • 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
  • Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran

  • University of Eyvanekey, Eyvanekey, Iran

  • Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran

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