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Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets

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  • M Sarwar Sindhu
  • Tabasam Rashid
  • Agha Kashif

Abstract

Picture fuzzy sets (PFSs) are comparatively a new extension of fuzzy sets which describe the human opinions that has more answers like acceptance, rejection, neutral and desist, which cannot be correctly presented in fuzzy sets (FSs) and intuitionistic fuzzy sets (IFSs). The PFSs are categorized by three objects, the degree of belonging, the degree of neutral belonging and the degree of non- belonging such that the total of these three degrees must not be more than one. So far, there is no such work presented in the literature which deals with unknown weights of criteria based on PFSs. In the present work, we have developed a linear programming (LP) model to find the exact weights from the given constraints of weights for the criteria and construct a modified distance based on similarity measure between picture fuzzy sets. Then we have utilized this similarity measure to achieve the best option in the multiple criteria decision making (MCDM) problem. Lastly, two practical examples for the selection of alternatives are presented to compare the obtained results with the existing similarity measures.

Suggested Citation

  • M Sarwar Sindhu & Tabasam Rashid & Agha Kashif, 2019. "Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-13, August.
    • Handle: RePEc:plo:pone00:0220957
    DOI: 10.1371/journal.pone.0220957
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    References listed on IDEAS

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    1. Kuo, Ting, 2017. "A modified TOPSIS with a different ranking index," European Journal of Operational Research, Elsevier, vol. 260(1), pages 152-160.
    2. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
    3. Ishizaka, Alessio & Siraj, Sajid, 2018. "Are multi-criteria decision-making tools useful? An experimental comparative study of three methods," European Journal of Operational Research, Elsevier, vol. 264(2), pages 462-471.
    4. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2015. "Energy import resilience with input–output linear programming models," Energy Economics, Elsevier, vol. 50(C), pages 215-226.
    5. Guiwu Wei, 2016. "Picture fuzzy cross-entropy for multiple attribute decision making problems," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(4), pages 491-502, July.
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    Cited by:

    1. Muhammad Sarwar Sindhu & Muhammad Ahsan & Khalil Ahmad & Imran Ameen Khan, 2024. "Modeling of Decision-Making Based on Hesitant Fuzzy Sets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 720-729.

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