Multi-attribute Decision Method Based on Normal Random Variable in Economic Management Risk Control

[1] Oukil, A., & Govindaluri, S. M. A hybrid multi-attribute decision-making procedure for ranking project proposals: A historical data perspective. Managerial and decision economics., 2020. 41(3): 461–472 OukilA. GovindaluriS. M. A hybrid multi-attribute decision-making procedure for ranking project proposals: A historical data perspective Managerial and decision economics 2020 41 3 461 472 10.1002/mde.3113 Search in Google Scholar

[2] Zolghadr-Asli, B., Bozorg-Haddad, O., Enayati, M., & Goharian, E. Developing a robust multi-attribute decision-making framework to evaluate performance of water system design and planning under climate change. Water Resources Management., 2021. 35(1): 279–298 Zolghadr-AsliB. Bozorg-HaddadO. EnayatiM. GoharianE. Developing a robust multi-attribute decision-making framework to evaluate performance of water system design and planning under climate change Water Resources Management 2021 35 1 279 298 10.1007/s11269-020-02725-y Search in Google Scholar

[3] Pasha, A., Mansourian, A., & Ravanshadnia, M. A hybrid fuzzy multi-attribute decision making model to select road pavement type. Soft Computing., 2020. 24(21): 16135–16148 PashaA. MansourianA. RavanshadniaM. A hybrid fuzzy multi-attribute decision making model to select road pavement type Soft Computing 2020 24 21 16135 16148 10.1007/s00500-020-04928-2 Search in Google Scholar

[4] Liu, P., Zhu, B., & Wang, P. A multi-attribute decision-making approach based on spherical fuzzy sets for Yunnan Baiyao’s R&D project selection problem. International Journal of Fuzzy Systems., 2019. 21(7): 2168–2191 LiuP. ZhuB. WangP. A multi-attribute decision-making approach based on spherical fuzzy sets for Yunnan Baiyao’s R&D project selection problem International Journal of Fuzzy Systems 2019 21 7 2168 2191 10.1007/s40815-019-00687-x Search in Google Scholar

[5] Zhuang, Z. Y., Su, C. R., & Chang, S. C. The effectiveness of IF-MADM (intuitionistic-fuzzy multi-attribute decision-making) for group decisions: Methods and an empirical assessment for the selection of a senior centre. Technological and economic Development of Economy., 2019. 25(2): 322–364 ZhuangZ. Y. SuC. R. ChangS. C. The effectiveness of IF-MADM (intuitionistic-fuzzy multi-attribute decision-making) for group decisions: Methods and an empirical assessment for the selection of a senior centre Technological and economic Development of Economy 2019 25 2 322 364 10.3846/tede.2019.8399 Search in Google Scholar

[6] Ma, Z., Zhu, J., & Zhang, S. Probabilistic-based expressions in behavioral multi-attribute decision making considering pre-evaluation. Fuzzy Optimization and Decision Making., 2021. 20(1): 145–173 MaZ. ZhuJ. ZhangS. Probabilistic-based expressions in behavioral multi-attribute decision making considering pre-evaluation Fuzzy Optimization and Decision Making 2021 20 1 145 173 10.1007/s10700-020-09335-8 Search in Google Scholar

[7] Tahri, M., Kaspar, J., Vacik, H., & Marusak, R. Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services. Annals of Forest Science., 2021. 78(2): 1–19 TahriM. KasparJ. VacikH. MarusakR. Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services Annals of Forest Science 2021 78 2 1 19 10.1007/s13595-021-01049-0 Search in Google Scholar

[8] Zuo, W. J., Li, D. F., & Yu, G. F. A general multi-attribute multi-scale decision making method based on dynamic LINMAP for property perceived service quality evaluation. Technological and Economic Development of Economy., 2020. 26(5): 1052–1073 ZuoW. J. LiD. F. YuG. F. A general multi-attribute multi-scale decision making method based on dynamic LINMAP for property perceived service quality evaluation Technological and Economic Development of Economy 2020 26 5 1052 1073 10.3846/tede.2020.12726 Search in Google Scholar

[9] Zhang, H., Jiang, W., & Deng, X. Data-driven multi-attribute decision-making by combining probability distributions based on compatibility and entropy. Applied Intelligence., 2020. 50(11): 4081–4093 ZhangH. JiangW. DengX. Data-driven multi-attribute decision-making by combining probability distributions based on compatibility and entropy Applied Intelligence 2020 50 11 4081 4093 10.1007/s10489-020-01738-9 Search in Google Scholar

[10] Yang, M., Zhu, H., & Guo, K. Research on manufacturing service combination optimization based on neural network and multi-attribute decision making. Neural Computing and Applications., 2020. 32(6): 1691–1700 YangM. ZhuH. GuoK. Research on manufacturing service combination optimization based on neural network and multi-attribute decision making Neural Computing and Applications 2020 32 6 1691 1700 10.1007/s00521-019-04241-6 Search in Google Scholar

[11] Baskonus, H. M., Bulut, H., & Sulaiman, T. A. New complex hyperbolic structures to the lonngren-wave equation by using sine-gordon expansion method. Applied Mathematics and Nonlinear Sciences., 2019. 4(1): 141–150 BaskonusH. M. BulutH. SulaimanT. A. New complex hyperbolic structures to the lonngren-wave equation by using sine-gordon expansion method Applied Mathematics and Nonlinear Sciences 2019 4 1 141 150 10.2478/AMNS.2019.1.00013 Search in Google Scholar

[12] Ahmad, R., Farooqi, A., Zhang, J., & Ali, N. Steady flow of a power law fluid through a tapered non-symmetric stenotic tube. Applied Mathematics and Nonlinear Sciences., 2019. 4(1): 255–266 AhmadR. FarooqiA. ZhangJ. AliN. Steady flow of a power law fluid through a tapered non-symmetric stenotic tube Applied Mathematics and Nonlinear Sciences 2019 4 1 255 266 10.2478/AMNS.2019.1.00022 Search in Google Scholar

[13] Krishankumar, R., Subrajaa, L. S., Ravichandran, K. S., Kar, S., & Saeid, A. B. A framework for multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic term set. International Journal of Fuzzy Systems., 2019. 21(4): 1130–1143 KrishankumarR. SubrajaaL. S. RavichandranK. S. KarS. SaeidA. B. A framework for multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic term set International Journal of Fuzzy Systems 2019 21 4 1130 1143 10.1007/s40815-019-00618-w Search in Google Scholar