A model for evaluating computer network security systems with 2-tuple linguistic information
With respect to comprehensiveevaluationmodelforcomputernetworksecuritywith linguistic information and incomplete weight information, a new comprehensiveevaluationmodel is proposed. In the method, the 2-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. In order to get the weight vector of the attribute, we establish an optimization model based on the basic ideal of traditional TOPSIS, by which the attribute weights can be determined. Then, the optimal alternative(s) is determined by calculating the shortest distance from the 2-tuple linguistic positive ideal solution (TLPIS) and on the other side the farthest distance of the 2-tuple linguistic negative ideal solution (TLNIS). The method has exact characteristics in linguistic information processing. It avoided information distortion and losing which occurred formerly in linguistic information processing. Finally, a numerical example of the evaluation of network security systems is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate.
incomplete weight linguistic assessment information 2-tuple linguistic positive ideal solution (tlpis) 2-tuple linguistic negative ideal solution (tlnis) comprehensive evaluation model technique for order performance by similarity to ideal solution (topsis)