Optimal combination between subjective weighting and objective weighting based on maximum square sum of distance for information security risk assessment

In this paper, it is shown a new comprehensive weighting to compute the weights of risk factors in information security risk assessment. firstly, the principal eigenvector is the representation of subjective weights by all risk factors pairwise comparison judgment matrix derived from AHP. Moreover, the objective weights of risk factors are calculated by the entropy weight method. Finally, the comprehensive weights are solved by optimal combination between subjective weight and objective weight based on square sum of distance. The method makes tradeoffs among subjective weighting and objective weighting and considers about the randomness of the data and expert's subjectivity.