Cloud computing credibility evaluation based on grey clustering and entropy

Jing Zhang, Jiang Rong, Qiujun Liao, Jia Wang, Xiaoyun Yang
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引用次数: 2

Abstract

Based on grey clustering and entropy, this paper proposes a grey clustering classification model to evaluate cloud computing credibility. In the model, entropy is used to resolve clustering weight determination. At last, simulation experiments is given by Matlab to verify to the model, the results show that the model is effective for cloud computing credibility evaluation.
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基于灰色聚类和熵的云计算可信度评价
基于灰色聚类和熵,提出了一种云计算可信度评价的灰色聚类分类模型。在模型中,使用熵来解决聚类权重的确定。最后通过Matlab仿真实验对模型进行了验证,结果表明该模型能够有效地进行云计算可信度评估。
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