A Collaborative Decision Approach for Internet Public Opinion Emergency with Intuitionistic Fuzzy Value
International Journal of Management and Fuzzy Systems
Volume 5, Issue 1, March 2019, Pages: 1-8
Received: Nov. 18, 2018; Accepted: Dec. 11, 2018; Published: Jan. 21, 2019
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Author
Qiansheng Zhang, School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P.R. China
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Abstract
This paper presents a collaborative group decision approach for selecting optimal internet public opinion emergency plan with intuitionistic fuzzy indexes involved multiple emergency sections. By using the proposed emergency group decision model, the collective performance of each emergency plan can be properly evaluated by integrating its individual performance and collaborative performance of each emergency plan. Based on the score and accuracy value of intuitionistic fuzzy collective performance, the priority ranking of all the alternative emergency plans can be determined. With the presented collective emergency decision method the top emergency decision-maker can choose the best emergency plan to deal with the internet public opinion emergency and execute emergency operation. Finally, a numerical example is given to illustrate the effectiveness of the presented collaborative decision method for internet public opinion emergency.
Keywords
Internet Public Opinion Emergency, Intuitionistic Fuzzy Value, Collaborative Decision, Emergency Plan
To cite this article
Qiansheng Zhang, A Collaborative Decision Approach for Internet Public Opinion Emergency with Intuitionistic Fuzzy Value, International Journal of Management and Fuzzy Systems. Vol. 5, No. 1, 2019, pp. 1-8. doi: 10.11648/j.ijmfs.20190501.11
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Z. H. Peng, Discussion on population emergency and network public sentiment, Journal of Shanghai Public Security College, 2008, 11, 46-50.
[2]
Y. W. Zhang, Y. J. Qi, The interaction mechanism between network public sentiment and abnormal emergency, Journal of Informatics, 2010, 9, 1-6.
[3]
Y. T. Li, Y. Liu, Y. Liu, Study on the grey early warning evaluation of network public sentiment, Journal of Intelligence, 2011, 30 (4), 24-27.
[4]
L. Martínez, F. Herrera, An overview on the 2-tuple linguistic model for computing with words in decision making: extensions, applications and challenges, Information Sciences, 2012, 207, 1-18.
[5]
H. C. Liao, Z. S. Xu, X. J. Zeng, Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making, Information Sciences, 2014, 271 (7), 125-142.
[6]
B. Sun, W. Ma, B. Sun, An approach to consensus measurement of linguistic preference relations in multi-attribute group decision making and application, Omega, 2015, 83-92.
[7]
Xu, J., Wu, Z., A maximizing consensus approach for alternative selection based on uncertain linguistic preference relations, Computers & Industrial Engineering, 2013, 64 (4), 999-1008.
[8]
Z. Tao, X. Liu, H. Chen, et al, Group decision making with fuzzy linguistic preference relations via cooperative games method, Computers & Industrial Engineering, 2015, 83, 184-192.
[9]
X. P. Li, Q. C. Nie, Improved algorithm of unconventional emergency decision making, Computer Engineering and Applications, 2016, 52 (22), 39-43.
[10]
Y. J. Xu, W. C. Zhang, H. M. Wang, A conflict-eliminating approach for emergency group decision of unconventional incidents, Knowledge-Based Systems, 2015, 83, 92-104.
[11]
Z. X. Zhang, L. Wang, Y. M. Wang, An Emergency Decision Making Method Based on Prospect Theory for Different Emergency Situations, International Journal of Disaster Risk Science, 2018, 9 (3), 407-420.
[12]
C. Liu, J. Qian, D. H. Guo, Y. Liu, A Spatio-temporal Scenario Model for Emergency Decision, GeoInformatica, 2018, 22 (2), 411-433.
[13]
Y. Yu, D. Guo, Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents, GeoInformatica, 2018, 22 (2), 479-502.
[14]
Z. X. Zhang, L. Wang, R. M. Rodríguez, Y. M. Wang, Luis Martínez, A hesitant group emergency decision making method based on prospect theory, Complex Intell. Syst., 2017, 3, 177–187.
[15]
W. S. Wu, G. Kou, Y. Peng, Y. Shi, A fuzzy multi-criteria emergency decision-making method, Systems Engineering-Theory and Practice, 2012, 32 (6), 1298-1304.
[16]
K. Jing, X. N. Zhao, Y. M. Wang, Local group decision making for emergency under uncertainty based on interval preference, Operations Research and Management Science, 2010, 19 (2), 97-103.
[17]
Y. L. Jiang, An approach to group decision making based on interval fuzzy relations, Journal of Systems Science and Systems Engineering, 2007, 16, 113-120.
[18]
Z. S. Xu, Consistency of interval fuzzy preference relations in group decision making, Applied Soft Computing, 2011, 11 (5), 3898-3909.
[19]
H. W. Liu, G. J. Wang, Multi-criteria decision-making methods based on intuitionistic fuzzy sets, European Journal of Operational Research, 2007, 179, 220–233.
[20]
L. Yu, K. K. Lai, A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support, Decision Support Systems, 2011, 51, 307-315.
[21]
X. Chen, Y. Wang, L. Y. Wu, G. Y. Yan, W. Zhu, Emergency decision model with multiple stages, multiple objectives and multidivisional cooperation, Systems Engineering-Theory and Practice, 2010, 30 (11), 1977-1985.
[22]
L. A. Zadeh, The concept of a linguistic variable and its applications to approximate reasoning, Part I, Information Science, 1975, 8, 199-249.
[23]
K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 1986, 20, 87–96.
[24]
Z. S. Xu, Intuitionistic fuzzy aggregation operators. IEE Transaction of Fuzzy Systems, 2007, 15 (6), 1179–1187.
[25]
Z. S. Xu, Models for multiple attribute decision making with intuitionistic fuzzy information. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007, 15, 285–297.
[26]
Fatih Emre Boran, Serkan Genc, Mustafa Kurt, Diyar Akay, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 2009, 36, 11363–11368.
[27]
P. A. Gloor, M. Paasivaara, D. Schoder, et al., Finding collaborative innovation networks through correlating performance with social network structure, International Journal of Product Research, 2008, 46 (5): 1357-1371.
[28]
Z. Emden, R. J. Calantone, C. Droge, Collaborating for new product development: selecting the partner with maximum potential to create value, The Journal of Product Innovation Management, 2006, 23, 330-341.
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