云计算安全评估的区间犹豫模糊灰色妥协关联分析方法

针对云计算安全评估动态性强的问题，提出一种可对云计算安全进行评估的区间犹豫模糊灰色妥协关联分析决策方法。首先，为了准确衡量两个区间犹豫模糊集之间的距离，定义了新的区间犹豫模糊距离公式。其次，为消除区间犹豫模糊集形式指标之间量纲差异，构造了新的区间犹豫模糊标准化公式。同时，为了综合考虑所有专家意见，解决指标冲突的情况，结合妥协思想，提出灰色妥协关联度的概念。在此基础上发展了一种可用于云计算安全评估的区间犹豫模糊灰色妥协关联决策方法并进行实例分析，分析结果表明所提方法是可行的，而且与现有区间犹豫模糊多属性决策相关文献的对比分析表明该决策方法更科学有效。

Interval-valued hesitant fuzzy grey compromise relation analysis method for security of cloud computing evaluation

In order to solve the dynamic evaluation problem of cloud computing security, a method named interval-valued hesitant fuzzy grey compromise relation analysis for accurately evaluating the security of cloud computing was proposed. Firstly, a new interval-valued hesitant fuzzy distance formula was defined to measure the distance between two interval-valued hesitant fuzzy sets. Then, two new interval-valued hesitant fuzzy normalization formulas were constructed to solve the different dimensions of attributes. Meanwhile, the concept of grey compromise relation degree was put forward to consider all the expert opinions and solve the situation when the attributes have conflicts. On the basis of this, a new interval-valued hesitant fuzzy grey compromise relation analysis method was presented to evaluate the security of cloud computing. The analysis results show that the proposed method is feasible, and its scientific and effective characters are proved by comparing with the existed interval-valued hesitant fuzzy multiple attribute decision making literatures.