An Approach to Evaluating the Information Security Risk With Intuitionistic Fuzzy Information

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Executive Summary

In this paper, the authors investigate the Multiple Attribute Group Decision Making (MAGDM) problems for for evaluating the information security risk with intuitionistic fuzzy information. They utilize the Induced Intuitionistic Fuzzy Ordered Weighted Averaging (I-IFOWA) operator and Intuitionistic Fuzzy Weighted Averaging (IFWA) operator to aggregate the intuitionistic fuzzy information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given.

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