Abstract
Decision making problems in security risk assessment are often associated with multiple criteria and multiple decision makers. In the proposed approach, decision making by multiple decision makers has been considered under uncertain conditions. An optimization model is used to assess criteria weights and then to rank risks. The different preference information from different decision makers are firstly transformed into uniform fuzzy preference relations and aggregated. Then ranking or selection of the alternatives reflects the decision makers’ subjective preference based on the objective decision information. It has been found that using fuzzy set theory to represent uncertainties under multiple-participant multi-criteria environment is very promising. The practices indicate that fuzzy group decision making techniques provide concepts and theoretical results that are valuable in formulating and solving problems in security risk assessment.
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Liu, F., Dai, K., Wang, Z., Ma, J. (2005). Research on Fuzzy Group Decision Making in Security Risk Assessment. In: Lorenz, P., Dini, P. (eds) Networking - ICN 2005. ICN 2005. Lecture Notes in Computer Science, vol 3421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31957-3_127
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DOI: https://doi.org/10.1007/978-3-540-31957-3_127
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25338-9
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