Pythagorean Fuzzy Sets Combined with the PROMETHEE Method for the Selection of Cotton Woven Fabric

Jing Ye, Ting Yu Chen*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

9 Scopus citations


Identifying and selecting the best cotton fabric from a series of available samples is a challenging multicriteria decision-making (MCDM) problem that includes fuzziness and uncertainty. Pythagorean fuzzy sets (PFSs) are widely used to manage complex and uncertain MCDM issues. The Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) is a widely used classical MCDM to assess and rank alternatives. In this study, we use the PROMETHEE approach to solve a real case of ranking cotton fabrics in a PFS environment, where alternatives are compared based on the PFS linguistic scales, and a score function is used as a defuzzification function. A comparative analysis is also performed with different score functions. The ranking results of the proposed PF-PROMETHEE method correlate strongly with other score functions, which indicates that the PF-PROMETHEE method is feasible and effective. The salient contributions of the PF-PROMETHEE method are as follows: (1) the method can manage uncertainty better than other methods; (2) uncertainty is evaluated by linguistic scales in the PF environment; (3) the method can effectively select cotton woven fabric; and (4) the method is applicable to a wide variety of MCDM problems in the textile industry.

Original languageEnglish
Pages (from-to)12447-12461
Number of pages15
JournalJournal of Natural Fibers
Issue number16
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 Taylor & Francis.


  • Multicriteria decision-making
  • Promethee
  • Pythagorean fuzzy sets
  • comparative analysis
  • cotton fabrics
  • score function


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