Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection
Cotton fabric selection is a challenging task in the garment product design and development process, and the selection of optimal alternative under the presence of multiple decision criteria becomes complex, and hence it is considered as a multi-criteria decision-making (MCDM) problem. In addition,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-08-01
|
| Series: | Journal of Natural Fibers |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15440478.2023.2201486 |
| _version_ | 1827807803995062272 |
|---|---|
| author | Jing Ye Ting-Yu Chen |
| author_facet | Jing Ye Ting-Yu Chen |
| author_sort | Jing Ye |
| collection | DOAJ |
| description | Cotton fabric selection is a challenging task in the garment product design and development process, and the selection of optimal alternative under the presence of multiple decision criteria becomes complex, and hence it is considered as a multi-criteria decision-making (MCDM) problem. In addition, the selection process involves fuzziness and uncertainty. In this study, Pythagorean fuzzy sets (PFSs) are introduced to handle uncertain information. Elimination and choice translating reality (ELECTRE) is a well-known outranking method for solving MCDM problems. Therefore, we extend the ELECTRE method under the PFS environment, and a correlation-based closeness coefficient is proposed to compare Pythagorean fuzzy numbers (PFNs). This paper applies the proposed PF-ELECTRE approach in solving a practical case involving the ranking cotton fabrics. To exhibit the superiority and robustness of the suggested method, sensitivity analysis is performed to examine the impacts of weights variation, as well as a comparative analysis is carried out between the PF-ELECTRE with several existing MCDM methods. The research contributes to the advancement and development of outranking MCDM methods through a novel PF-ELECTRE approach that utilizes the weighted correlation coefficient. Moreover, the developed method can obtain reliable results and can be used to other textile domains. |
| first_indexed | 2024-03-11T22:02:16Z |
| format | Article |
| id | doaj.art-10631567fc5749498bbdcda52bffdc93 |
| institution | Directory Open Access Journal |
| issn | 1544-0478 1544-046X |
| language | English |
| last_indexed | 2024-03-11T22:02:16Z |
| publishDate | 2023-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj.art-10631567fc5749498bbdcda52bffdc932023-09-25T10:29:00ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2023-08-0120210.1080/15440478.2023.22014862201486Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric SelectionJing Ye0Ting-Yu Chen1Jiaxing UniversityChang Gung UniversityCotton fabric selection is a challenging task in the garment product design and development process, and the selection of optimal alternative under the presence of multiple decision criteria becomes complex, and hence it is considered as a multi-criteria decision-making (MCDM) problem. In addition, the selection process involves fuzziness and uncertainty. In this study, Pythagorean fuzzy sets (PFSs) are introduced to handle uncertain information. Elimination and choice translating reality (ELECTRE) is a well-known outranking method for solving MCDM problems. Therefore, we extend the ELECTRE method under the PFS environment, and a correlation-based closeness coefficient is proposed to compare Pythagorean fuzzy numbers (PFNs). This paper applies the proposed PF-ELECTRE approach in solving a practical case involving the ranking cotton fabrics. To exhibit the superiority and robustness of the suggested method, sensitivity analysis is performed to examine the impacts of weights variation, as well as a comparative analysis is carried out between the PF-ELECTRE with several existing MCDM methods. The research contributes to the advancement and development of outranking MCDM methods through a novel PF-ELECTRE approach that utilizes the weighted correlation coefficient. Moreover, the developed method can obtain reliable results and can be used to other textile domains.http://dx.doi.org/10.1080/15440478.2023.2201486cotton fabric selectionmulti-criteriadecision-makingpythagorean fuzzy setselectrecorrelation coefficientcomparative analysis |
| spellingShingle | Jing Ye Ting-Yu Chen Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection Journal of Natural Fibers cotton fabric selection multi-criteriadecision-making pythagorean fuzzy sets electre correlation coefficient comparative analysis |
| title | Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection |
| title_full | Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection |
| title_fullStr | Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection |
| title_full_unstemmed | Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection |
| title_short | Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection |
| title_sort | development of the electre method under pythagorean fuzzy sets based on existing correlation coefficients for cotton fabric selection |
| topic | cotton fabric selection multi-criteriadecision-making pythagorean fuzzy sets electre correlation coefficient comparative analysis |
| url | http://dx.doi.org/10.1080/15440478.2023.2201486 |
| work_keys_str_mv | AT jingye developmentoftheelectremethodunderpythagoreanfuzzysetsbasedonexistingcorrelationcoefficientsforcottonfabricselection AT tingyuchen developmentoftheelectremethodunderpythagoreanfuzzysetsbasedonexistingcorrelationcoefficientsforcottonfabricselection |