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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References
Carroll, J.M.: Computer Security. Butterworth-Heinemann (1996)
Cushing, K.: IT Directors Must Review Security Every 90 Days. Computer Weekly: 4 (2002)
Information Security Risk Assessment, United States General Accounting office GAO/AIMD-00-33 (November 1999)
Liu, F., Dai, K., Wang, Z.: Improving Security Architecture Development Based on Multiple Criteria Decision Making. In: Chi, C.-H., Lam, K.-Y. (eds.) AWCC 2004. LNCS, vol. 3309, pp. 214–218. Springer, Heidelberg (2004)
Butler, S.A.: Security Attribute Evaluation Method. Carnegie Mellon University, Dissertation of Doctor of Philosophy (May 2003)
Chiclana, F., Herrera, F., Herrera-Viedma, E.: Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 97, 33–48 (1998)
Ma, J., Zhang, Q., Fan, Z., Liang, J., et al.: An Approach to Multiple Attribute Decision Making based on Preference Information on Alternatives. In: HICSS (2001)
Feng, S., Xu, L.D.: Decision Support for Fuzzy Comprehensive Evaluation of Urban Development. Fuzzy Sets and Systems 105(1), 1–12 (1999)
Cheng, C.H., Yang, K.L.: Evaluating Attack Helicopters by AHP Based on Linguistic Variable Weight. European Journal of Operational Research 116, 423–435 (1999)
Leekwijck, W.V., Kerre, E.E.: Defuzzification: Criteria and Classification. Fuzzy Sets and Systems 108(2), 159–178 (1999)
Chen, S.-J., Hwang, C.-L.: Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer, New York (1992)
Zhou, D.N.: Fuzzy Group Decision Support System Approach to Group Decision Making Under Multiple Criteria. Dissertation of Doctor of Philosophy, City University of Hong Kong (March 2000)
Ma, J., Fan, Z., Wei, Q.: Existence and construction of weight-set for satisfying preference orders of alternatives based on additive multi-attribute value model. IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(1), 66–72 (2001)
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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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