A Collaborative Group Decision Model for Internet Public Opinion Emergency with Interval Value

Qiansheng Zhang^1,

¹School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China

Cite this paper:
Qiansheng Zhang. A Collaborative Group Decision Model for Internet Public Opinion Emergency with Interval Value. American Journal of Modeling and Optimization. 2019; 7(1):14-19. doi: 10.12691/ajmo-7-1-3

Abstract

This paper proposes a collaborative group decision model for internet public opinion emergency with interval-valued index involved multiple decision-makers. By using the proposed emergency decision model the optimal weight of each individual and collaborative index of emergency can be determined. Finally, the comprehensive crisis of each emergency can be calculated by integrating the individual severity with the collaborative severity. According to the ranking of crisis the emergency department can make effective decision scheme to deal with all the internet public opinion emergencies.

Keywords:
internet public opinion emergency interval linguistic value collaborative index emergency group decision

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Li ,Y.T., Liu,Y., “Study on the grey early warning evaluation of network public sentiment,” Journal of Intelligence, 30(4), 24-27, 2011.
[2]	Zhang, Y.W., Qi, Y.J., “The interaction mechanism between network public sentiment and abnormal emergency,” Journal of Informatics, 9, 1-6, 2010.
[3]	Xu,Z.S, Da,Q.L., “New Method for Interval multi-attribute decision-making,” Journal of Southeast University, 33(4), 498-501, 2003.
[4]	Xu, Z.S., “A practical method for priority of interval number complementary judgment matrix,” Operations Research and Management Science, 10, 16-19,2001.
[5]	Xu, Z.S., D,Q.L., “Multi-attribute decision-making based on fuzzy linguistic assessments,” Journal of Southeast University, 32(4), 656-658, 2002.
[6]	Bai, C. Z., Zhang, R., Shen, S. , Huang, C.F., Fan, X., “Interval-valued probabilistic linguistic term sets in multi-criteria group decision making,” International Journal of Intelligent Systems, 33(6), 1301-1321, 2018.
[7]	Zhang, Z. X., Wang,L., Wang，Y.M. , “,” International Journal of Disaster Risk Science, 9 (3), 407-420, 2018.
[8]	Liu, C., Qian, J., Guo, D. H., Liu, Y., “,” GeoInformatica, 22 (2), 411-433, 2018.
[9]	Yu,Y., Guo, D., “,” Geo Informatica, 22(2), 479-502, 2018.
[10]	Wu, W.S., Kou, G., Peng, Y., Shi, Y., “A fuzzy multi-criteria emergency decision-making method,” Systems Engineering-Theory and Practice, 32(6), 1298-1304, 2012.
[11]	Zhang, Z.X., Wang,L., Rodríguez. R. M., Wang. Y.M., L. Martínez. “A hesitant group emergency decision making method based on prospect theory,” Complex Intell. Syst., 3, 177-187, 2017.
[12]	Jing, K., Zhao, X.N., Wang,Y. M., “Local group decision making for emergency under uncertainty based on interval preference,” Operations Research and Management Science, 19(2), 97-103, 2010.
[13]	Tang, R., Wang, H. Y., Ma, S. J., “Study on group decision model of extreme flood disaster emergency in city,” Forecasting, 31(3), 71-75, 2012.
[14]	Chen, T.Y., Tsao, C.Y., “The interval-valued fuzzy TOPSIS method and experimental analysis,” Fuzzy Sets and Systems, 159, 1410-1428, 2008.
[15]	Xu, Z.S., “Consistency of interval fuzzy preference relations in group decision making,” Applied Soft Computing, 11(5), 3898-3909, 2011.
[16]	Tapia Garc, J.M. , del Moral, M.J., Martínez, M.A. , et al., “A consensus model for group decision making problems with linguistic interval fuzzy preference relations,” Expert Systems with Applications ,39(11), 10022-10030, 2012.
[17]	Yu, L., Lai, K. K., “A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support,” Decision Support Systems, 51, 307-315, 2011.
[18]	Chen, X., Wang, Y., Wu, L.Y., Yan, G.Y., Zhu, W., “Emergency decision model with multiple stages, multiple objectives and multi-divisional cooperation,” Systems Engineering-Theory and Practice, 30(11), 1977-1985, 2010.