Green supplier selection based on CODAS method in probabilistic uncertain linguistic environment
Abstract
Probabilistic uncertain linguistic sets (PULTSs) have widely been used in MADM or MAGDM. The CODAS method, which is a novel MADM or MAGDM tool, aims to acquire the optimal choice which have the largest Euclidean & Hamming distances from the NIS. This paper designs the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight. Finally, a numerical example for green supplier selection is given and the obtained results are compared with some existing models.
First published online 05 February 2021
Keyword : MAGDM, PULTSs, CODAS method, green supplier, selection
How to Cite
Wei, C., Wu, J., Guo, Y., & Wei, G. (2021). Green supplier selection based on CODAS method in probabilistic uncertain linguistic environment. Technological and Economic Development of Economy, 27(3), 530-549. https://doi.org/10.3846/tede.2021.14078
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation & Economic Cybernetics Studies & Research, 50(3), 25–44.
Kobina, A., Liang, D. C., & He, X. (2017). Probabilistic linguistic power aggregation operators for multicriteria group decision making. Symmetry-Basel, 9(12), 320. https://doi.org/10.3390/sym9120320
Lei, F., Wei, G. W., Gao, H., Wu, J., & Wei, C. (2020). TOPSIS method for developing supplier selection with probabilistic linguistic information. International Journal of Fuzzy Systems, 22, 749–759. https://doi.org/10.1007/s40815-019-00797-6
Liang, D. C., Kobina, A., & Quan, W. (2018). Grey relational analysis method for probabilistic linguistic multi-criteria group decision-making based on geometric Bonferroni mean. International Journal of Fuzzy Systems, 20, 2234–2244. https://doi.org/10.1007/s40815-017-0374-2
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Liao, H. C., & Xu, Z. S. (2014a). Multi-criteria decision making with intuitionistic fuzzy PROMETHEE. Journal of Intelligent & Fuzzy Systems, 27(4), 1703–1717. https://doi.org/10.3233/IFS-141137
Liao, H. C., & Xu, Z. S. (2014b). Satisfaction degree based interactive decision making under hesitant fuzzy environment with incomplete weights. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 22(4), 553–572. https://doi.org/10.1142/S0218488514500275
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Liao, H. C. C., Yang, L. Y. Y., & Xu, Z. S. S. (2018b). Two new approaches based on ELECTRE II to solve the multiple criteria decision making problems with hesitant fuzzy linguistic term sets. Applied Soft Computing, 63, 223–234. https://doi.org/10.1016/j.asoc.2017.11.049
Lin, M. W., Chen, Z. Y., Liao, H. C., & Xu, Z. S. (2019). ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing. Nonlinear Dynamics, 96, 2125–2143. https://doi.org/10.1007/s11071-019-04910-0
Lin, M. W., Xu, Z. S., Zhai, Y. L., & Yao, Z. Q. (2018). Multi-attribute group decision-making under probabilistic uncertain linguistic environment. Journal of the Operational Research Society, 69(2), 157–170. https://doi.org/10.1057/s41274-017-0182-y
Lu, J. P., & Wei, C. (2019). TODIM method for performance appraisal on social-integration-based rural reconstruction with interval-valued intuitionistic fuzzy information. Journal of Intelligent & Fuzzy Systems, 37(2), 1731–1740. https://doi.org/10.3233/JIFS-179236
Lu, J. P., Wei, C., Wu, J., & Wei, G. W. (2019). TOPSIS method for probabilistic linguistic MAGDM with entropy weight and its application to supplier selection of new agricultural machinery products. Entropy, 21(10), 953. https://doi.org/10.3390/e21100953
Pamucar, D., Badi, I., Sanja, K., & Obradovic, R. (2018). A novel approach for the selection of powergeneration technology using a linguistic neutrosophic CODAS method: A case study in Libya. Energies, 11(9), 2489. https://doi.org/10.3390/en11092489
Panchal, D., Chatterjee, P., Shukla, R. K., Choudhury, T., & Tamosaitiene, J. (2017). Integrated FUZZY AHP-CODAS framework for maintenance decision in urea fertilizer industry. Economic Computation and Economic Cybernetics Studies and Research, 51, 179–196.
Pang, Q., Wang, H., & Xu, Z. S. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/10.1016/j.ins.2016.06.021
Peng, X. D., & Li, W. Q. (2019). Algorithms for hesitant fuzzy soft decision making based on revised aggregation operators, WDBA and CODAS. Journal of Intelligent & Fuzzy Systems, 36(6), 6307–6323. https://doi.org/10.3233/JIFS-182594
Rodriguez, R. M., Martinez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
Sohaib, O., Naderpour, M., Hussain, W., & Martinez, L. (2019). Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method. Computers & Industrial Engineering, 132, 47–58. https://doi.org/10.1016/j.cie.2019.04.020
Tavana, M., Yazdani, M., & Di Caprio, D. (2017). An application of an integrated ANP-QFD framework for sustainable supplier selection. International Journal of Logistics-Research and Applications, 20(3), 254–275. https://doi.org/10.1080/13675567.2016.1219702
Tong, Y. (2017). Model for evaluating the green supply chain performance under low-carbon agricultural economy environment with 2-tuple linguistic information. Journal of Intelligent & Fuzzy Systems, 32(3), 2717–2723. https://doi.org/10.3233/JIFS-16802
Wang, J., Wei, G. W., Wei, C., & Wei, Y. (2020). MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Defence Technology, 16(1), 208–216. https://doi.org/10.1016/j.dt.2019.06.019
Wang, J., Wei, G. W., & Wei, Y. (2018). Models for green supplier selection with some 2-tuple linguistic neutrosophic number Bonferroni mean operators. Symmetry-Basel, 10(5), 131. https://doi.org/10.3390/sym10050131
Wang, K. Q., Liu, H. C., Liu, L. P., & Huang, J. (2017). Green supplier evaluation and selection using cloud model theory and the QUALIFLEX method. Sustainability, 9(5), 688. https://doi.org/10.3390/su9050688
Wang, R. (2019). Research on the application of the financial investment risk appraisal models with some interval number muirhead mean operators. Journal of Intelligent & Fuzzy Systems, 37(2), 1741–1752. https://doi.org/10.3233/JIFS-179237
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