An extended MABAC method based on prospect theory for multiple attribute group decision making under probabilistic uncertain linguistic environment

[1] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986), 87-96.

[2] Z. Bashir, J. Ali, T. Rashid, Consensus-based robust decision making methods under a novel study of probabilistic uncertain linguistic information and their application in Forex investment, Artificial Intelligence Review, 54 (2021), 2091-2132.

[3] B. C. Cuong, Picture fuzzy sets, Journal of Computer Science and Cybernetics, 30 (2014), 409-420.

[4] Y. Dorfeshan, S. M. Mousavi, A novel interval type-2 fuzzy decision model based on two new versions of relative preference relation-based MABAC and WASPAS methods (with an application in aircraft maintenance planning), Neural Computing and Applications, 32 (2020), 3367-3385.

[5] Y. F. Du, D. Liu, A novel approach for probabilistic linguistic multiple attribute decision making based on dual muirhead mean operators and VIKOR, International Journal of Fuzzy Systems, 23 (2021), 243-261.

[6] J. W. Gong, Q. Li, L. S. Yin, H. C. Liu, Undergraduate teaching audit and evaluation using an extended MABAC method underq-rung orthopair fuzzy environment, International Journal of Intelligent Systems, 35 (2020), 1912-1933.

[7] J. Gu, Y. Zheng, X. L. Tian, Z. S. Xu, A decision-making framework based on prospect theory with probabilistic linguistic term sets, Journal of the Operational Research Society, 72 (2021), 879-888.

[8] Y. He, F. Lei, G. W. Wei, R. Wang, J. Wu, C. Wei, EDAS method for multiple attribute group decision making with probabilistic uncertain linguistic information and its application to green supplier selection, International Journal of Computational Intelligence Systems, 12 (2019), 1361-1370.

[9] Y. He, G. Wei, X. Chen, Bidirectional projection method for multi-attribute group decision making under probabilistic uncertain linguistic environment, Journal of Intelligent and Fuzzy Systems, 41 (2021), 1429-1443.

[10] Y. He, G. Wei, X. Chen, Taxonomy-based multiple attribute group decision making method with probabilistic uncertain linguistic information and its application in supplier selection, Journal of Intelligent and Fuzzy Systems, 41 (2021), 3237-3250.

[11] Y. Huang, R. Lin, X. Chen, An enhancement EDAS method based on prospect theory, Technological and Economic Development of Economy, 27 (2021), 1019-1038.

[12] Z. Jiang, G. Wei, X. Chen, EDAS method based on cumulative prospect theory for multiple attribute group decisionmaking under picture fuzzy environment, Journal of Intelligent and Fuzzy Systems, 42 (2022), 1723-1735.

[13] Z. Jiang, G. Wei, Y. Guo, Picture fuzzy MABAC method based on prospect theory for multiple attribute group decision making and its application to suppliers selection, Journal of Intelligent and Fuzzy Systems, 42 (2022), 3405-3415.

[14] T. Kahneman, Advances in prospect theory: Cumulative representation of uncertainty, Journal of Risk and Uncertainty, 5 (1992), 297-323.

[15] D. Kahneman, A. Tversky, Prospect theory: An analysis of decision under risk, Econometrica, 47 (1979), 263-291.

[16] A. Karasan, C. Kahraman, A novel interval-valued neutrosophic EDAS method: Prioritization of the united nations national sustainable development goals, Soft Computing, 22 (2018), 4891-4906.

[17] F. Lei, G. W. Wei, W. Shen, Y. Guo, PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection, Technological and Economic Development of Economy, 28 (2022), 179-200.

[18] F. Lei, G. W. Wei, J. Wu, C. Wei, Y. F. Guo, QUALIFLEX method for MAGDM with probabilistic uncertain linguistic information and its application to green supplier selection, Journal of Intelligent and Fuzzy Systems, 39 (2020), 6819-6831.

[19] R. X. Liang, S. S. He, J. Q. Wang, K. Chen, L. Li, An extended MABAC method for multi-criteria group decisionmaking problems based on correlative inputs of intuitionistic fuzzy information, Computational and Applied Mathematics, 38 (2019), DOI:10.1007/s40314-019-0886-5.

[20] N. Liao, H. Gao, G. Wei, X. Chen, CPT-MABAC-based multiple attribute group decision making method with probabilistic hesitant fuzzy information, Journal of Intelligent and Fuzzy Systems, 41 (2021), 6999-7014.

[21] N. Liao, G. Wei, X. Chen, TODIM method based on cumulative prospect theory for multiple attributes group decision making under probabilistic hesitant fuzzy setting, International Journal of Fuzzy Systems, 24 (2022), 322-339.

[22] M. W. Lin, Z. S. Xu, Y. L. Zhai, Z. Q. Yao, Multi-attribute group decision-making under probabilistic uncertain linguistic environment, Journal of the Operational Research Society, 69 (2018), 157-170.

[23] P. D. Liu, S. F. Cheng, An improved MABAC group decision-making method using regret theory and likelihood in probability multi-valued neutrosophic sets, International Journal of Information Technology and Decision Making, 19 (2020), 1353-1387.

[24] R. Liu, L. X. Hou, H. C. Liu, W. L. Lin, Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment, Computational and Applied Mathematics, 39 (2020), 276.

[25] P. D. Liu, P. Zhang, A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making, International Journal of Intelligent Systems, 36 (2021), 447-477.

[26] J. Lu, S. Zhang, J. Wu, Y. Wei, COPRAS method for multiple attribute group decision making under picture fuzzy environment and their application to green supplier selection, Technological and Economic Development of Economy, 27 (2021), 369-385.

[27] C. L. Lu, M. Zhao, I. R. Khan, P. Uthansakul, Prospect theory based hesitant fuzzy multi-criteria decision making for low sulphur fuel of maritime transportation, Cmc-Computers Materials and Continua, 66 (2021), 1511-1528.

[28] D. D. Luo, S. Z. Zeng, J. Chen, A probabilistic linguistic multiple attribute decision making based on a new correlation coefficient method and its application in hospital assessment, Mathematics, 8 (2020), 340.

[29] H. M. Mo, An emergency decision-making method for probabilistic linguistic term sets extended by D number theory, Symmetry-Basel, 12 (2020), 380.

[30] R. X. Nie, J. Q. Wang, Prospect theory-based consistency recovery strategies with multiplicative probabilistic linguistic preference relations in managing group decision making, Arabian Journal for Science and Engineering, 45 (2020), 2113-2130.

[31] B. Ning, G. Wei, R. Lin, Y. Guo, A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection, Expert Systems with Applications, 204 (2022), 117419.

[32] D. Pamucar, G. Cirovic, The selection of transport and handling resources in logistics centers using multi-attributive border approximation area comparison (MABAC), Expert Systems with Applications, 42 (2015), 3016-3028.

[33] Q. Pang, H. Wang, Z. S. Xu, Probabilistic linguistic term sets in multi-attribute group decision making, Information Sciences, 369 (2016), 128-143.

[34] K. W. Shen, X. K. Wang, D. Qiao, J. Q. Wang, Extended Z-MABAC method based on regret theory and directed distance for regional circular economy development program selection with Z-information, IEEE Transactions on Fuzzy Systems, 28 (2020), 1851-1863.

[35] D. Stanujkic, E. K. Zavadskas, M. Keshavarz Ghorabaee, Z. Turskis, An extension of the EDAS method based on the use of interval grey numbers, Studies in Informatics and Control, 26 (2017), 5-12.

[36] Y. Su, M. Zhao, C. Wei, X. Chen, PT-TODIM method for probabilistic linguistic MAGDM and application to industrial control system security supplier selection, International Journal of Fuzzy Systems, 24 (2022), 202-215.

[37] Y. Su, M. Zhao, G. Wei, C. Wei, X. Chen, Probabilistic uncertain linguistic EDAS method based on prospect theory for multiple attribute group decision-making and its application to green finance, International Journal of Fuzzy Systems, 24 (2022), 1318-1331.

[38] S. Wang, G. Wei, J. Lu, J. Wu, C. Wei, X. Chen, GRP and CRITIC method for probabilistic uncertain linguistic MAGDM and its application to site selection of hospital constructions, Soft Computing, 26 (2022), 237-251.

[39] G. W. Wei, Y. He, F. Lei, J. Wu, C. Wei, MABAC method for multiple attribute group decision making with probabilistic uncertain linguistic information, Journal of Intelligent and Fuzzy Systems, 39 (2020), 3315-3327.

[40] G. W. Wei, F. Lei, R. Lin, R. Wang, Y. Wei, J. Wu, C. Wei, Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: Application to location planning of electric vehicle charging stations, Economic Research-Ekonomska Istrazivanja, 33 (2020), 828-846.

[41] G. Wei, R. Lin, J. Lu, J. Wu, C. Wei, The generalized dice similarity measures for probabilistic uncertain linguistic MAGDM and its application to location planning of electric vehicle charging stations, International Journal of Fuzzy Systems, 24 (2022), 933-948.

[42] G. Wei, C. Wei, Y. Guo, EDAS method for probabilistic linguistic multiple attribute group decision making and their application to green supplier selection, Soft Computing, 25 (2021), 9045-9053.

[43] C. Wu, D. Zhang, The 2-additive fuzzy Choquet integral-based TODIM method with improved score function under hesitant fuzzy environment, Iranian Journal of Fuzzy Systems, 16 (2019), 129-143.

[44] W. Y. Xie, Z. L. Ren, Z. S. Xu, H. Wang, The consensus of probabilistic uncertain linguistic preference relations and the application on the virtual reality industry, Knowledge-Based Systems, 162 (2018), 14-28.

[45] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-356.

[46] E. K. Zavadskas, F. Cavallaro, V. Podvezko, I. Ubarte, A. Kaklauskas, MCDM assessment of a healthy and safe built environment according to sustainable development principles: A practical neighborhood approach in vilnius, Sustainability, 9 (2017), 702.

[47] D. Zhang, Y. Su, M. Zhao, X. Chen, CPT-TODIM method for interval neutrosophic MAGDM and its application to third-party logistics service providers selection, Technological and Economic Development of Economy, 28 (2022), 201-219.

[48] H. Zhang, G. Wei, X. Chen, CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection, Journal of Intelligent and Fuzzy Systems, 41 (2021), 1009-1019.

[49] H. Zhang, G. Wei, X. Chen, SF-GRA method based on cumulative prospect theory for multiple attribute group decision making and its application to emergency supplies supplier selection, Engineering Applications of Artificial Intelligence, 110 (2022), 104679.

[50] M. Zhao, H. Gao, G. Wei, C. Wei, Y. Guo, Model for network security service provider selection with probabilistic uncertain linguistic TODIM method based on prospect theory, Technological and Economic Development of Economy, 28 (2022), 638-654.

[51] M. Zhao, G. Wei, X. D. Chen, Y. Wei, Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making, International Journal of Intelligent Systems, 36 (2021), 6337-6359.

[52] M. Zhao, G. Wei, Y. Guo, X. Chen, CPT-TODIM method for interval-valued bipolar fuzzy multiple attribute group decision making and application to industrial control security service provider selection, Technological and Economic Development of Economy, 27 (2021), 1186-1206.

[53] M. Zhao, G. Wei, J. Wu, Y. Guo, C. Wei, TODIM method for multiple attribute group decision making based on cumulative prospect theory with 2tuple linguistic neutrosophic sets, International Journal of Intelligent Systems, 36 (2021), 1199-1222.