Prioritization of low-carbon suppliers based on Pythagorean fuzzy group decision making with self-confidence level

References

• Aggarwal, M. (2015). A new family of induced OWA operators. International Journal of Intelligent Systems, 30(2), 170–205. doi: 10.1002/int.21693
   Web of Science ®Google Scholar
• Anastasiadis, A., Konstantinopoulos, S., Kondylis, G., Vokas, G. A., & Salame, M. J. (2018). Carbon tax, system marginal price and environmental policies on smart microgrid operation. Management of Environmental Quality: An International Journal, 29(1), 76–88. doi: 10.1108/MEQ-11-2016-0086
   Google Scholar
• Asadabadi, M. R. (2017). A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain. European Journal of Operational Research, 263(3), 1049–1062. doi: 10.1016/j.ejor.2017.06.006
   Web of Science ®Google Scholar
• Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96. doi: 10.1016/S0165-0114(86)80034-3
   Web of Science ®Google Scholar
• Büyüközkan, G., & Göçer, F. (2017). Application of a new combined intuitionistic fuzzy MCDM approach based on axiomatic design methodology for the supplier selection problem. Applied Soft Computing, 52, 1222–1238. doi: 10.1016/j.asoc.2016.08.051
   Web of Science ®Google Scholar
• Chen, T. Y. (2018). Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis. Information Fusion, 41, 129–150. doi: 10.1016/j.inffus.2017.09.003
   Web of Science ®Google Scholar
• Davood, M., Seyed, H. G., & Ashkan, H. (2016). A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs. International Journal of Production Economics, 181, 87–97.
   Web of Science ®Google Scholar
• Garg, H. (2017). Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t- norm and t-conorm for multicriteria decision-making process. International Journal of Intelligent Systems, 32(6), 597–630. doi: 10.1002/int.21860
   Web of Science ®Google Scholar
• Govindan, K., & Sivakumar, R. (2016). Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Annals of Operations Research, 238(1–2), 243–276. doi: 10.1007/s10479-015-2004-4
   Web of Science ®Google Scholar
• Jain, V., Panchal, G. B., & Kumar, S. (2014). Universal supplier selection via multi-dimensional auction mechanisms for two-way competition in oligopoly market of supply chain. Omega, 47(3), 127–137. doi: 10.1016/j.omega.2013.10.005
   Web of Science ®Google Scholar
• Krishnendu, S., Ravi, S., Surendra, S. Y., & Lakshman, S. T. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(3), 8182–8192.
   Google Scholar
• Liu, W. Q., Dong, Y. C., Chiclana, F., Cabrerizo, F., & Herrera-Viedma, E. (2017). Group decision-making based on heterogeneous preference relations with self-confidence. Fuzzy Optimization and Decision Making, 16(4), 429–447. doi: 10.1007/s10700-016-9254-8
   Web of Science ®Google Scholar
• Liu, W. S., & Liao, H. C. (2017). A bibliometric analysis of fuzzy decision research during 1970–2015. International Journal of Fuzzy Systems, 19(1), 1–14. doi: 10.1007/s40815-016-0272-z
   Web of Science ®Google Scholar
• Liu, C. P., & Peng, B. (2017). A method for group decision making based on interval-valued intuitionistic fuzzy geometric distance measures. Informatica, 28(3), 453–470. doi: 10.15388/Informatica.2017.138
   Web of Science ®Google Scholar
• Merigó, J. M., & Gil-Lafuente, A. M. (2013). Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Information Sciences, 236, 1–16. doi: 10.1016/j.ins.2013.02.039
   Web of Science ®Google Scholar
• Merigó, J. M., Guillén, M., & Sarabia, J. M. (2015). The ordered weighted average in the variance and the covariance. International Journal of Intelligent Systems, 30(9), 985–1005. doi: 10.1002/int.21716
   Web of Science ®Google Scholar
• Peng, X. D., & Dai, J. G. (2017). Approaches to pythagorean fuzzy stochastic multi-criteria decision making based on prospect theory and regret theory with new distance measure and score function. International Journal of Intelligent Systems, 32(11), 1187–1214. doi: 10.1002/int.21896
   Web of Science ®Google Scholar
• Peng, X. D., & Yang, Y. (2015). Some results for pythagorean fuzzy sets. International Journal of Intelligent Systems, 30(11), 1133–1160. doi: 10.1002/int.21738
   Web of Science ®Google Scholar
• Peng, X. D., & Yang, Y. (2016). Pythagorean fuzzy Choquet integral based MABAC method for multiple attribute group decision making. International Journal of Intelligent Systems, 31(10), 989–1020. doi: 10.1002/int.21814
   Web of Science ®Google Scholar
• Qin, J. D., Liu, X. W., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626–638. doi: 10.1016/j.ejor.2016.09.059
   Web of Science ®Google Scholar
• Rao, C. J., Xiao, X. P., Xie, M., Goh, M., & Zheng, J. J. (2017). Low carbon supplier selection under multi-source and multi-attribute procurement. Journal of Intelligent & Fuzzy Systems, 32(6), 4009–4022. doi: 10.3233/JIFS-151813
   Web of Science ®Google Scholar
• Sirbiladze, G., & Badagadze, O. (2017). Intuitionistic fuzzy probabilistic aggregation operators based on the choquet integral: application in multicriteria decision-making. International Journal of Information Technology & Decision Making, 16(1), 245–279. doi: 10.1142/S0219622016500449
   Web of Science ®Google Scholar
• Song, W. Y., Xu, Z. T., & Liu, H. C. (2017). Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: An integrated approach. Renewable and Sustainable Energy Reviews, 79, 1461–1471. doi: 10.1016/j.rser.2017.05.081
   Web of Science ®Google Scholar
• Tong, X., & Wang, Z. J. (2016). A group decision framework with intuitionistic preference relations and its application to low carbon supplier selection. International Journal of Environmental Research and Public Health, 13, 923. doi: 10.3390/ijerph13090923
   Web of Science ®Google Scholar
• Wan, S. P., Xu, G. L., & Dong, J. Y. (2017). Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment. Information Sciences, 385-386, 19–38. doi: 10.1016/j.ins.2016.12.032
   Web of Science ®Google Scholar
• Wang, Z. J., Wang, Y. H., & Li, K. W. (2016). An acceptable consistency-based framework for group decision making with intuitionistic preference relations. Group Decision and Negotiation, 25(1), 181–202. doi: 10.1007/s10726-015-9438-6
   Web of Science ®Google Scholar
• Wei, G. W. (2017). Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 33(4), 2119–2132. doi: 10.3233/JIFS-162030
   Web of Science ®Google Scholar
• Xia, M. M., Xu, Z. S., & Chen, N. (2011). Induced aggregation under confidence levels. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 19 (02), 201–227. doi: 10.1142/S0218488511006976
   Web of Science ®Google Scholar
• Xian, S., Zhang, J., & Xue, W. (2016). Fuzzy linguistic induced generalized OWA operator and its application in fuzzy linguistic decision making. International Journal of Intelligent Systems, 2016, 31(8), 749–762. doi: 10.1002/int.21801
   Web of Science ®Google Scholar
• Xu, Z. S. (2005). An overview of methods for determining OWA weights. International Journal of Intelligent Systems, 20(8), 843–865. doi: 10.1002/int.20097
   Web of Science ®Google Scholar
• Xu, Q. F., Yu, K. F., Zeng, Z. S., & Liu, J. (2017). Pythagorean fuzzy induced generalized OWA operator and its application to multi-attribute group decision making. International Journal of Innovative Computing Information and Control, 13(5), 1527–1536.
   Web of Science ®Google Scholar
• Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, 18(1), 183–190. doi: 10.1109/21.87068
   Web of Science ®Google Scholar
• Yager, R. R. (2014). Pythagorean membership grades in multi-criteria decision making. IEEE Transactions on Fuzzy Systems, 22(4), 958–965. doi: 10.1109/TFUZZ.2013.2278989
   Web of Science ®Google Scholar
• Yager, R. R., & Filev, D. P. (1999). Induced ordered weighted averaging operators. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 29 (2), 141–150. doi: 10.1109/3477.752789
   PubMed Web of Science ®Google Scholar
• Yu, D. J. (2014). Intuitionistic fuzzy information aggregation under confidence levels. Applied Soft Computing, 19(6), 147–160. doi: 10.1016/j.asoc.2014.02.001
   Web of Science ®Google Scholar
• Yu, D. J., & Liao, H. C. (2016). Visualization and quantitative research on intuitionistic fuzzy studies. Journal of Intelligent & Fuzzy Systems, 30(6), 3653–3663. doi: 10.3233/IFS-162111
   Web of Science ®Google Scholar
• Zeng, S. Z. (2016). An extension of OWAD operator and its application to uncertain multiple-attribute group decision-making. Cybernetics and Systems, 47(5), 363–375.
   Web of Science ®Google Scholar
• Zeng, S. Z. (2017). Pythagorean fuzzy multiattribute group decision making with probabilistic information and OWA approach. International Journal of Intelligent Systems, 32(11), 1136–1150. doi: 10.1002/int.21886
   Web of Science ®Google Scholar
• Zeng, S. Z., Chen, J. P., & Li, X. S. (2016). A hybrid method for Pythagorean fuzzy multiple-criteria decision making. International Journal of Information Technology & Decision Making, 15(2), 403–422. doi: 10.1142/S0219622016500012
   Web of Science ®Google Scholar
• Zeng, S. Z., Merigó, J. M., Palacios-Marqués, D., Jin, H., & Gu, F. (2017). Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making. Journal of Intelligent & Fuzzy Systems, 32(1), 11–22. doi: 10.3233/JIFS-141219
   Web of Science ®Google Scholar
• Zhang, X. L. (2016). A novel approach based on similarity measure for Pythagorean fuzzy multiple criteria group decision making. International Journal of Intelligent Systems, 31(6), 593–611. doi: 10.1002/int.21796
   Web of Science ®Google Scholar
• Zhang, X. L. (2016). Multicriteria Pythagorean fuzzy decision analysis: a hierarchical QUALIFLEX approach with the closeness index-based ranking methods. Information Sciences, 330, 104–124. doi: 10.1016/j.ins.2015.10.012
   Web of Science ®Google Scholar
• Zhang, X. L., & Xu, Z. S. (2014). Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems, 29(12), 1061–1078. doi: 10.1002/int.21676
   Web of Science ®Google Scholar
• Zhao, Q. R., Chen, Q. H., Xiao, Y. T., Tian, G. Q., Chu, X. L., & Liu, Q. M. (2017). Saving forests through development? Fuelwood consumption and the energy-ladder hypothesis in rural Southern China. Transformations in Business & Economics, 16 (3), 199–219.
   Web of Science ®Google Scholar
• Zhou, L. G., Tao, Z. F., Chen, H. Y., & Liu, J. P. (2014). Intuitionistic fuzzy ordered weighted cosine similarity measure. Group Decision and Negotiation, 23(4), 879–900. doi: 10.1007/s10726-013-9359-1
   Web of Science ®Google Scholar