Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry

Applied Soft Computing - Tập 136 - Trang 110115 - 2023
Xindong Peng1,2, Hai-Hui Huang1, Zhigang Luo2
1School of Information Engineering, Shaoguan University, Shaoguan, China
2College of Computer, National University of Defence Technology, Changsha, China

Tài liệu tham khảo

Liu, 2013, Who does what in China’s new energy vehicle industry?, Energy Policy, 57, 21, 10.1016/j.enpol.2012.05.046 Ren, 2018, New energy vehicle in China for sustainable development: Analysis of success factors and strategic implications, Transp. Res. D Transp. Environ., 59, 268, 10.1016/j.trd.2018.01.017 Wu, 2020, Technological capability, eco-innovation performance, and cooperative R & D strategy in new energy vehicle industry: Evidence from listed companies in China, J. Clean. Prod., 261, 10.1016/j.jclepro.2020.121157 Yang, 2020, Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China, J. Clean. Prod., 281 Xiong, 2021, Differences in the effects of China’s new energy vehicle industry policies on market growth from the perspective of policy mix, Energy Environ., 32, 542, 10.1177/0958305X20945333 Dong, 2020, Policy evolution and effect evaluation of new-energy vehicle industry in China, Resour. Policy, 67, 10.1016/j.resourpol.2020.101655 Huo, 2019 Abdel-Basset, 2020, An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries, Risk Manag., 22, 192, 10.1057/s41283-020-00061-4 Peng, 2020, Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation, Technol. Econ. Dev. Econ., 26, 695, 10.3846/tede.2020.11920 Sun, 2020, Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting, Inf. Fusion, 54, 128, 10.1016/j.inffus.2019.07.006 Sun, 2019, Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry, Risk Manag., 21, 215, 10.1057/s41283-018-0047-y Atanassov, 1986, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 87, 10.1016/S0165-0114(86)80034-3 Yager, 2013, Pythagorean membership grades in multicriteria decision making, IEEE Trans. Fuzzy Syst., 22, 958, 10.1109/TFUZZ.2013.2278989 Senapati, 2020, Fermatean fuzzy sets, J. Ambient Intell. Humaniz. Comput., 11, 663, 10.1007/s12652-019-01377-0 Yager, 2017, Generalized orthopair fuzzy sets, IEEE Trans. Fuzzy Syst., 25, 1222, 10.1109/TFUZZ.2016.2604005 Yin, 2023, Ranking products through online reviews considering the mass assignment of features based on BERT and q-rung orthopair fuzzy set theory, Expert Syst. Appl., 213, 10.1016/j.eswa.2022.119142 Xu, 2018, Route selection for low-carbon ammonia production: A sustainability prioritization framework based-on the combined weights and projection ranking by similarity to referencing vector method, J. Clean. Prod., 193, 263, 10.1016/j.jclepro.2018.05.054 Liu, 2018, Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making, Int. J. Intell. Syst., 33, 259, 10.1002/int.21927 Peng, 2019, Research on the assessment of classroom teaching quality with q-rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance-based assessment, Int. J. Intell. Syst., 34, 1588, 10.1002/int.22109 Peng, 2019, Information measures for q-rung orthopair fuzzy sets, Int. J. Intell. Syst., 34, 1795, 10.1002/int.22115 Wei, 2019, Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization, Int. J. Intell. Syst., 34, 50, 10.1002/int.22042 Pinar, 2020, A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure, Int. J. Mach. Learn. Cybern., 11, 1749, 10.1007/s13042-020-01070-1 Liu, 2022, Consistency threshold-and score function-based multi-attribute decision-making with q-rung orthopair fuzzy preference relations, Inform. Sci., 618, 356, 10.1016/j.ins.2022.10.122 Peng, 2018, Exponential operation and aggregation operator for q-rung orthopair fuzzy set and their decision-making method with a new score function, Int. J. Intell. Syst., 33, 2255, 10.1002/int.22028 Peng, 2019, Generalized orthopair fuzzy weighted distance-based approximation (WDBA) algorithm in emergency decision-making, Int. J. Intell. Syst., 34, 2364, 10.1002/int.22140 Mi, 2019, Hospitality brand management by a score-based q-rung orthopair fuzzy VIKOR method integrated with the best worst method, Econ. Res., 32, 3272 Jana, 2019, Some Dombi aggregation of q-rung orthopair fuzzy numbers in multiple-attribute decision making, Int. J. Intell. Syst., 34, 3220, 10.1002/int.22191 Xing, 2019, Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making, Soft Comput., 23, 11627, 10.1007/s00500-018-03712-7 Li, 2019, Some preference relations based on q-rung orthopair fuzzy sets, Int. J. Intell. Syst., 34, 2920, 10.1002/int.22178 Du, 2019, Weighted power means of q-rung orthopair fuzzy information and their applications in multiattribute decision making, Int. J. Intell. Syst., 34, 2835, 10.1002/int.22167 Peng, 2021, q-Rung orthopaiHuangr fuzzy decision-making framework for integrating mobile edge caching scheme preferences, Int. J. Intell. Syst., 36, 2229, 10.1002/int.22377 Banerjee, 2020, SMAA-QUALIFLEX methodology to handle multicriteria decision-making problems based on q-rung fuzzy set with hierarchical structure of criteria using bipolar Choquet integral, Int. J. Intell. Syst., 35, 401, 10.1002/int.22210 Garg, 2020, A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties, Neural Comput. Appl., 32, 15077, 10.1007/s00521-020-04859-x Farhadinia, 2020, Score-based multiple criteria decision making process by using P-rung orthopair fuzzy sets, Informatica, 1 Rani, 2020, Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-rung orthopair fuzzy sets, Sustain. Prod. Consump., 24, 90, 10.1016/j.spc.2020.06.015 Lin, 2020, Linguistic q-rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators, Int. J. Intell. Syst., 35, 217, 10.1002/int.22136 Zeng, 2021, Q-rung orthopair fuzzy weighted induced logarithmic distance measures and their application in multiple attribute decision making, Eng. Appl. Artif. Intell., 100, 10.1016/j.engappai.2021.104167 Krishankumar, 2022, Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights, Appl. Soft Comput. Palomar, 2005, Practical algorithms for a family of waterfilling solutions, IEEE Trans. Signal Process., 53, 686, 10.1109/TSP.2004.840816 Liu, 2018, A new methodology for hesitant fuzzy emergency decision making with unknown weight information, Complexity, 2018, 1 Hadi-Vencheh, 2014, Fuzzy inferior ratio method for multiple attribute decision making problems, Inform. Sci., 277, 263, 10.1016/j.ins.2014.02.019 Zhu, 2022, q-ROF-SIR methods and their applications to multiple attribute decision making, Int. J. Mach. Learn. Cybern., 13, 595, 10.1007/s13042-020-01267-4 Liu, 2018, Multiple attribute decision-making method for dealing with heterogeneous relationship among attributes and unknown attribute weight information under q-rung orthopair fuzzy environment, Int. J. Intell. Syst., 33, 1900, 10.1002/int.22001 Liu, 2020, Entropy-based GLDS method for social capital selection of a PPP project with q-rung orthopair fuzzy information, Entropy, 22, 414, 10.3390/e22040414 Gong, 2020, Undergraduate teaching audit and evaluation using an extended MABAC method under q-rung orthopair fuzzy environment, Int. J. Intell. Syst., 35, 1912, 10.1002/int.22278 Yang, 2020, A decision-making algorithm for online shopping using deep-learning-based opinion pairs mining and q-rung orthopair fuzzy interaction Heronian mean operators, Int. J. Intell. Syst., 35, 783, 10.1002/int.22225 Qin, 2019, Archimedean Muirhead aggregation operators of q-rung orthopair fuzzy numbers for multicriteria group decision making, Complexity Garg, 2020, Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets, Inform. Sci., 517, 427, 10.1016/j.ins.2019.11.035 Saha, 2020, Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators, J. Ambient Intell. Humaniz. Comput., 12, 8149, 10.1007/s12652-020-02551-5 Li, 2020, EDAS method for multiple attribute group decision making under q-rung orthopair fuzzy environment, Technol. Econ. Dev. Econ., 26, 86, 10.3846/tede.2019.11333