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Information Aggregation of Group Decision-Making in Emergency Events
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Intelligent Information Management·Volume 02 (2010)·Pages 475–482·Published 27 August 2010·DOI10.4236/iim.2010.28057
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Abstract
Information is a key factor in emergency management, which helps decision makers to make effective decisions. In this paper, aiming at clarifying the information aggregation laws, and according to the characteristic of emergency information, information relative entropy is applied in the information aggregation to establish the information aggregation model of emergency group decision-making. The analysis shows that support and credibility of decision rule are the two factors in information aggregation. The results of four emergency decision-making groups in case study support the analysis in the paper.
KeywordsEmergencyGroup Decision-MakingInformation AggregationRelative Entropy
- R. R. Yager, “On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision Making,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 18, No. 6, 1988, pp. 183-190.
- S. E. Bodily, “A Delegation Process for Combining Individual Utility Function,” Management Science, Vol. 25, No. 10, 1979, pp. 1035-1047.
- H. W. Brock, “The Problem of Utility Weights in Group Preference Aggregation,” Operations Research, Vol. 18, No. 1, 1980, pp. 176-187.
- F. R. Krzyszto and S. L. Duck, “Preference Criterion for Flood Control under Uncertainty,” Water Resources Research, Vol. 15, No. 3, 1979, pp. 513-520.
- D. F. Chen, Y. J. Lei and Y. Tian, “Aggregation and application of the information about attribute weights with different forms in group decision making,” Journal of Air Force Engineering University (Natural Science Edition) (in Chinese), Vol. 7, No. 6, 2006, pp. 51-53.
- B. J. Li, S. F. Liu, “A new method on group decision-making with interval-number judgment matrices,” Chinese Journal of Management Science (in Chinese), Vol. 12, No. 6, 2004, pp. 109-112.
- J. Wu and D. S. Huang, “The Uniform Methods for Interval Number Preference Information Multi-Attribute Decision Making,” Systems Engineering-Theory Methodololgy Application (in Chinese), Vol. 12, No. 4, 2003, pp. 359-362.
- S. Z. Zhou, J. J. Zhu, S. F. Liu, H. H. Wang, “Goal programming model on multiple kinds of uncertain preference aggregation approach,” Systems Engineering-Theory & Practice (in Chinese), Vol. 3, 2008, pp. 118-124.
- J. J. Zhu, “Group Aggregation Approach of Two Kinds of Uncertain Preference Information,” Control and Decision (in Chinese), Vol. 21, No. 8, 2006, pp. 889-892.
- X. Q. Feng, C. P. Wei, Z. Z. Li and G. Hu, “Aggregating of interval number judgment matrixes with maximum satisfaction,” Systems Engineering (in Chinese), Vol. 24, No. 11, 2006, pp. 42-45.
- G. W. Wei, “Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making,” Applied Soft Computing, Vol. 10, No. 2, 2010, pp. 423-431.
- H. J. Zimmermann, P. Zysno, “Decisions and evaluations by hierarchical aggregation of information,” Fuzzy Sets and Systems, Vol. 10, No. 3, 1983, pp. 243-260.
- K. F. Xie and G. Chen, “Entrepreneurial Team’s Risk Decision-Making Process Based on Group Learning,” Computational Intelligence and Software Engineering (in Chinese), Vol. 2, No. 4, 2009, pp. 1-4.