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Research Article

Fabric Selection Based on Sine Trigonometric Aggregation Operators Under Pythagorean Fuzzy Uncertainty

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Pages 13928-13942 | Published online: 05 Sep 2022

References

  • Abdullah, L., and P. Goh. 2019. Decision making method based on Pythagorean fuzzy sets and its application to solid waste management. Complex & Intelligent Systems 5 (2):185–98. doi:10.1007/s40747-019-0100-9.
  • Akram, M., W. A. Dudek, and J. M. Dar. 2019. Pythagorean dombi fuzzy aggregation operators with application in multicriteria decision-making. International Journal of Intelligent Systems 34 (11):3000–19. doi:10.1002/int.22183.
  • Akram, M., A. Luqman, and J. C. R. Alcantud. 2021a. Risk evaluation in failure modes and effects analysis: Hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information. Neural Computing & Applications 33 (11):5675–703. doi:10.1007/s00521-020-05350-3.
  • Akram, M., A. Luqman, and C. Kahraman. 2021b. Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems. Applied Soft Computing 108:107479. doi:10.1016/j.asoc.2021.107479.
  • Alam, M. S., and A. Ghosh. 2013. Selection of cotton fabrics for optimal comfort properties using multi-criteria decision making. Journal of Textile and Apparel, Technology and Management 8 (3):1–8.
  • Ashraf, S., and S. Abdullah. 2020. Decision support modeling for agriculture land selection based on sine trigonometric single valued neutrosophic information. International Journal of Neutrosophic Science (IJNS) 9 (2):60–73. doi:10.5281/zenodo.3958076
  • Ashraf, S., and S. Abdullah. 2021. Decision aid modeling based on sine trigonometric spherical fuzzy aggregation information. Soft Computing 25 (13):8549–72. doi:10.1007/s00500-021-05712-6.
  • Ashraf, S., S. Abdullah, and S. Khan. 2021. Fuzzy decision support modeling for internet finance soft power evaluation based on sine trigonometric Pythagorean fuzzy information. Journal of Ambient Intelligence and Humanized Computing 12 (2):3101–19. doi:10.1007/s12652-020-02471-4.
  • Büyüközkan, G., and F. Göçer. 2021. A novel approach integrating AHP and COPRAS under Pythagorean fuzzy sets for digital supply chain partner selection. IEEE Transactions on Engineering Management 68 (5):1486–503. doi:10.1109/TEM.2019.2907673.
  • Büyüközkan, G., F. Göçer, and D. Uztürk. 2021. A novel Pythagorean fuzzy set integrated choquet integral approach for vertical farming technology assessment. Computers & Industrial Engineering 158:107384. doi:10.1016/j.cie.2021.107384.
  • Chourabi, Z., F. Khedher, A. Babay, and M. Cheikhrouhou. 2019. Multi-criteria decision making in workforce choice using AHP, WSM and WPM. The Journal of the Textile Institute 110 (7):1092–101. doi:10.1080/00405000.2018.1541434.
  • Emovon, I., R. A. Norman, and A. J. Murphy. 2018. Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems. Journal of Intelligent Manufacturing 29 (3):519–31. doi:10.1007/s10845-015-1133-6.
  • Farid, H. M. A., and M. Riaz. 2022. Pythagorean fuzzy prioritized aggregation operators with priority degrees for multi-criteria decision-making. International Journal of Intelligent Computing and Cybernetics Ahead-Of-Print Ahead-Of-Print. (ahead-of-print). doi:10.1108/IJICC-10-2021-0224.
  • Garg, H. 2020. A Novel Trigonometric Operation-Based q-Rung Orthopair Fuzzy Aggregation Operator and Its Fundamental Properties. Neural Computing & Applications 32 (18):15077–99. doi:10.1007/s00521-020-04859-x.
  • Garg, H. 2021. Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process. Artificial Intelligence Review 54 (6):4421–47. doi:10.1007/s10462-021-10002-6.
  • Guarnieri, P., and F. Trojan. 2019. Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry. Resources, Conservation and Recycling 141:347–61. doi:10.1016/j.resconrec.2018.10.023.
  • Iftikhar, F., Z. Ali, T. Hussain, A. Nazir, and D. C. Adolphe. 2019. A multi-criteria decision-making approach for woven fabric selection and grading for ladies summer apparel. Journal of Natural Fibers 0 (0):1–10. doi:10.1080/15440478.2019.1691123.
  • Karami, S., R. Ghasemy Yaghin, and F. Mousazadegan. 2021. Supplier selection and evaluation in the garment supply chain: An integrated DEA-PCA-VIKOR approach. The Journal of the Textile Institute 112 (4):578–95. doi:10.1080/00405000.2020.1768771.
  • Khan, M. J., M. I. Ali, P. Kumam, W. Kumam, M. Aslam, and J. C. R. Alcantud. 2022. Improved generalized dissimilarity measure-based vikor method for Pythagorean fuzzy sets. International Journal of Intelligent Systems 37 (3):1807–45. doi:10.1002/int.22757.
  • Liu, P., Q. Khan, T. Mahmood, R. A. Khan, and H. U. Khan. 2021. Some improved Pythagorean fuzzy dombi power aggregation operators with application in multiple-attribute decision making. Journal of Intelligent & Fuzzy Systems 40 (5):9237–57. doi:10.3233/JIFS-201723.
  • Liu, P., P. Rani, and A. R. Mishra. 2021. A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology. Journal of Cleaner Production 292:126047. doi:10.1016/j.jclepro.2021.126047.
  • Mahmood, T., and A. Jaballah. 2020. A novel approach towards bipolar soft sets and their applications. Journal of Mathematics 2020:1–11. doi:10.1155/2020/4690808.
  • Mahmood, T., K. Ullah, Q. Khan, and N. Jan. 2019. An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Computing & Applications 31 (11):7041–53. doi:10.1007/s00521-018-3521-2.
  • Molodtsov, D. 1999. Soft set theory—First results. Computers & Mathematics with Applications 37 (4):19–31. doi:10.1016/S0898-1221(99)00056-5.
  • Naghashzargar, E., M. Ghiasi, and D. Semnani. 2021. Using analytical hierarchy process to optimize mechanical properties of multi-twisted buckled silk yarn as a collagenous tissue scaffold. The Journal of the Textile Institute 113 (3):1–7. doi:10.1080/00405000.2021.1884356.
  • Onar, S. C., B. Oztaysi, C. Kahraman, E. Ozturk, and C. Kahraman. 2020. Evaluation of legal debt collection services by using hesitant Pythagorean (intuitionistic type 2) fuzzy AHP. Journal of Intelligent & Fuzzy Systems 38 (1):883–94. doi:10.3233/JIFS-179456.
  • Pérez-Domínguez, L., L. A. Rodríguez-Picón, A. Alvarado-Iniesta, D. Luviano Cruz, and Z. Xu. 2018. MOORA under Pythagorean fuzzy set for multiple criteria decision making. Complexity 2018:1–10. doi:10.1155/2018/2602376.
  • Rani, P., A. R. Mishra, K. R. Pardasani, A. Mardani, H. Liao, and D. Streimikiene. 2019. A novel VIKOR approach based on entropy and divergence measures of Pythagorean fuzzy sets to evaluate renewable energy technologies in India. Journal of Cleaner Production 238:117936. doi:10.1016/j.jclepro.2019.117936.
  • Riaz, M., and M. R. Hashmi. 2019. Linear diophantine fuzzy set and its applications towards multi-attribute decision-making problems. Journal of Intelligent & Fuzzy Systems 37 (4):5417–39. doi:10.3233/JIFS-190550.
  • Verma, S., V. K. Midha, and A. K. Choudhary. 2020. Multi-objective optimization of process parameters for lignin removal of coir using TOPSIS. Journal of Natural Fibers 0 (0):1–13. doi:10.1080/15440478.2020.1739589.
  • Wang, L., and H. Garg. 2021. Algorithm for multiple attribute decision-making with interactive Archimedean norm operations under Pythagorean fuzzy uncertainty. International Journal of Computational Intelligence Systems 14 (1):503–27. doi:10.2991/ijcis.d.201215.002.
  • Wang, L., H. Garg, and N. Li. 2021. Pythagorean fuzzy interactive hamacher power aggregation operators for assessment of express service quality with entropy Weight. Soft Computing 25 (2):973–93. doi:10.1007/s00500-020-05193-z.
  • Wang, R., and Y. Li. 2018. A novel approach for green supplier selection under a Q-rung orthopair fuzzy environment. Symmetry 10 (12):687. doi:10.3390/sym10120687.
  • Yager, R. R. 2013. Pythagorean FUZZY SUBsets. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 57–61. Edmonton, Canada: IEEE. doi:10.1109/IFSA-NAFIPS.2013.6608375.
  • Yager, R. R. 2014. Pythagorean membership grades in multicriteria decision making. IEEE Transactions on Fuzzy Systems 22 (4):958–65. doi:10.1109/TFUZZ.2013.2278989.
  • Yin, L., Q. Zhang, F. Zhao, Q. Mou, and S. Xian. 2022. A new distance measure for Pythagorean fuzzy sets based on earth mover’s distance and its applications. Journal of Intelligent & Fuzzy Systems 42 (4):3079–92. doi:10.3233/JIFS-210800.
  • Zadeh, L. A. 1975. The concept of a linguistic variable and its application to approximate reasoning-III. Information Sciences 9 (1):43–80. doi:10.1016/0020-0255(75)90017-1.
  • Zhang, W.-R. 1994. Bipolar fuzzy sets and relations: A computational framework for cognitive modeling and multiagent decision analysis. In NAFIPS/IFIS/NASA ’94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige, 305–09. doi:10.1109/IJCF.1994.375115.
  • Zhang, X., and Z. Xu. 2014. Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems 29 (12):1061–78. doi:10.1002/int.21676.

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