Mathematics and Computer Science

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Choose Best Criteria for Decision Making Via Fuzzy Topsis Method

Received: 10 October 2017    Accepted: 27 October 2017    Published: 24 November 2017
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Abstract

Multi Criteria Decision Making (MCDM) uses different techniques to find a best alternative from multi-alternative and multi-criteria conditions. TOPSIS is an important practical technique for ranking and selection of different alternatives by using distance measures. Classical TOPSIS uses crisp techniques for the linguistic assessments, but due to imprecise and fuzziness nature of the linguistic assessments, we faced some problems to find out the solution of these problems. We proposed a Fuzzy TOPSIS with its example in this work and use this method for decision making.

DOI 10.11648/j.mcs.20170206.14
Published in Mathematics and Computer Science (Volume 2, Issue 6, November 2017)
Page(s) 113-119
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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), 2024. Published by Science Publishing Group

Keywords

Fuzzy TOPSIS, Fuzzy Set, Aggregated Fuzzy Decision Matrix, Normalized Fuzzy Decision Matrix, Weighted Normalized Fuzzy Decision Matrix

References
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[17] Ashtiani B., Haghighirad F., Makui A. and Ali Montazer G., “Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets”, Appl. Soft Comput. J, 9 (2): 457–461 (2009).
[18] BOROVIČKA, A. “Fuzzy weights estimation method based on the linguistic expression of criteria relevance Fuzzy weights estimation method based on the linguistic expression of criteria relevance”, (2014).
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Author Information
  • Department of Mathematics, University of Management and Technology, Lahore, Pakistan

  • Department of Mathematics, University of Management and Technology, Lahore, Pakistan

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  • APA Style

    Muhammad Zulqarnain, Fazal Dayan. (2017). Choose Best Criteria for Decision Making Via Fuzzy Topsis Method. Mathematics and Computer Science, 2(6), 113-119. https://doi.org/10.11648/j.mcs.20170206.14

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    ACS Style

    Muhammad Zulqarnain; Fazal Dayan. Choose Best Criteria for Decision Making Via Fuzzy Topsis Method. Math. Comput. Sci. 2017, 2(6), 113-119. doi: 10.11648/j.mcs.20170206.14

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    AMA Style

    Muhammad Zulqarnain, Fazal Dayan. Choose Best Criteria for Decision Making Via Fuzzy Topsis Method. Math Comput Sci. 2017;2(6):113-119. doi: 10.11648/j.mcs.20170206.14

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  • @article{10.11648/j.mcs.20170206.14,
      author = {Muhammad Zulqarnain and Fazal Dayan},
      title = {Choose Best Criteria for Decision Making Via Fuzzy Topsis Method},
      journal = {Mathematics and Computer Science},
      volume = {2},
      number = {6},
      pages = {113-119},
      doi = {10.11648/j.mcs.20170206.14},
      url = {https://doi.org/10.11648/j.mcs.20170206.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.mcs.20170206.14},
      abstract = {Multi Criteria Decision Making (MCDM) uses different techniques to find a best alternative from multi-alternative and multi-criteria conditions. TOPSIS is an important practical technique for ranking and selection of different alternatives by using distance measures. Classical TOPSIS uses crisp techniques for the linguistic assessments, but due to imprecise and fuzziness nature of the linguistic assessments, we faced some problems to find out the solution of these problems. We proposed a Fuzzy TOPSIS with its example in this work and use this method for decision making.},
     year = {2017}
    }
    

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    T1  - Choose Best Criteria for Decision Making Via Fuzzy Topsis Method
    AU  - Muhammad Zulqarnain
    AU  - Fazal Dayan
    Y1  - 2017/11/24
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    AB  - Multi Criteria Decision Making (MCDM) uses different techniques to find a best alternative from multi-alternative and multi-criteria conditions. TOPSIS is an important practical technique for ranking and selection of different alternatives by using distance measures. Classical TOPSIS uses crisp techniques for the linguistic assessments, but due to imprecise and fuzziness nature of the linguistic assessments, we faced some problems to find out the solution of these problems. We proposed a Fuzzy TOPSIS with its example in this work and use this method for decision making.
    VL  - 2
    IS  - 6
    ER  - 

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