Abstract
Nowadays, choosing the best supplier among the various suppliers has high importance for all enterprises, factories, and purchasers, which require high accuracy of the decision-making process by using specific methods and tools for the analysis of relevant factors. To reflect the uncertainty and changeable environment, fuzzy sets are used frequently by researchers. One of the extensions of ordinary fuzzy sets is Interval Valued q-Rung Orthopair Fuzzy Sets (IVq-ROFSs) which is an important way to express uncertain information. The objective of this paper is supplier assessment using EDAS method in q-Rung Interval-Valued Orthopair Fuzzy environment in Multiple-Attribute Group Decision Making (MAGDM) problems. Due to aggregate the comments of decision-makers, Interval Valued q-Rung Orthopair Fuzzy Weighted Power Mean aggregation operator (IVq-ROFWPM) is presented and used. Finally, to show the validity and applicability of the proposed method, a case study of supplier evaluation in a transformer company is implemented.
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References
Du, W.S.: Weighted power means of q-rung orthopair fuzzy information and their applications in multiattribute decision making. Int. J. Intell. Syst. 34(11), 2835–2862 (2019)
Joshi, B.P., Singh, A., Bhatt, P.K., Vaisla, K.S.: Interval valued q-rung orthopair fuzzy sets and their properties. J. Intell. Fuzzy Syst. 35(5), 5225–5230 (2018)
Farrokhizadeh, E. Seyfi Shishavan, S.A. Donyatalab, Y. Kutlu Gündoğdu, F. and Kahraman, C.: Spherical fuzzy bonferroni mean aggregation operators and their applications to multiple-attribute decision making. in decision making with spherical fuzzy sets-theory and applications. In: Kutlu Gündoğdu, F., Kahraman, C. (eds.) Springer (2020). https://doi.org/10.1007/978-3-030-45461-6_5
Ju, Y., Gonzalez, E.D.R.S., Wang, A.: Some interval valued q-Rung orthopair weighted averaging operators and their applications to multiple attribute decision making. Int. J. Intell. Syst. 34(10), 2584–2606 (2019)
Wang, J., Gao, H., Wei, G.: Methods for multiple-attribute group decision making with q-Rung interval-valued orthopair fuzzy information and their applications to the selection of green suppliers. SS symmetry (2019)
Gao, H., Ran, L., Wei, G., Wei, C.: VIKOR method for MAGDM based on Q-Rung interval-valued orthopair fuzzy information and its application to supplier selection of medical consumption products. Environ. Res. Public Heal. Artic. 17(2), 525–539 (2020)
Xu, Y., Shang, X., Wang, J., Zhao, H., Zhang, R., Bai, K.: Some interval-valued q-Rung dual hesitant fuzzy muirhead mean operators with their application to multi-attribute decision-making. IEEE Access 7, 54724–54745 (2019)
Ghorabaee, M.K., Zavadskas, E.K., Olfat, L., Turskis, Z.: Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 26(3), 435–451 (2015)
Kahraman, C., Keshavarz Ghorabaee, M., Zavadskas, E.K., Cevik Onar, S., Yazdani, M., Oztaysi, B.: Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. J. Environ. Eng. Landsc. Manag. 25(1), 1–12 (2017)
Ghorabaee, M.K., Amiri, M., Zavadskas, E.K., Turskis, Z., Antucheviciene, J.: A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Comput. Ind. Eng. 112, 156–174 (2017)
Peng, X., Liu, C.: Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J. Intell. Fuzzy Syst. 32(1), 955–968 (2017)
Ilieva, G.: Group decision analysis algorithms with EDAS for interval fuzzy sets. Cybern. Inf. Technol. 18, 51–64 (2018)
Feng, X., Wei, C., Liu, Q.: EDAS method for extended hesitant fuzzy linguistic multi- criteria decision making. Int. J. Fuzzy Syst. 20(8), 2470–2483 (2018)
Li, Z., Wei, G., Wang, R., Wu, J., Wei, C., Wei, Y.: EDAS method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Technol. Econ. Dev. Econ. 26(1), 86–102 (2020)
Beliakov, G., Bustince Sola, H., Calvo, Sánchez T.: A Practical Guide to Averaging Functions. Springer, Heidelberg (2016)
Tan, C., Chen, X.: Generalized archimedean intuitionistic fuzzy averaging aggregation operators and their application to multicriteria decision-making. Int. J. Inf. Technol. Decis. Mak. 15(2), 311–352 (2016)
Wei, G., Lu, M.: Pythagorean fuzzy power aggregation operators in multiple attribute decision making. Int. J. Intell. Syst. 33(1), 169–186 (2018)
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Farrokhizadeh, E., Seyfi Shishavan, S.A., Donyatalab, Y., Seifi, S.H. (2021). Interval Valued q-Rung Orthopair Fuzzy EDAS Method and Its Application to Supplier Selection. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_53
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DOI: https://doi.org/10.1007/978-3-030-51156-2_53
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