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基于云模型和AHP的网络信息系统可生存性评估

刘延华,陈国龙,吴瑞芬   

  1. 1. 福州大学 数学与计算机科学学院,福建 福州 350116;2. 福建省网络计算与智能信息处理重点实验室,福建 福州 350116
  • 出版日期:2014-08-25 发布日期:2014-08-15
  • 基金资助:
    国家自然科学基金资助项目(61103175,61300103); 福建省自然科学基金资助项目(2012J01265); 福建省科技创新平台计划基金资助项目(2009J1007); 福州市科技计划基金资助项目(2013-G-94)

Survivability evaluation of network information system based on the cloud model and analytic hierarchy process

  • Online:2014-08-25 Published:2014-08-15

摘要: 针对当前网络信息系统可生存性评估指标的复杂性和定性概念评估问题,将云模型理论和AHP方法相结合,提出了一种基于云模型的多层次可生存性模糊评估方法。用AHP方法构建了多层次评估指标体系,并对各级指标权重进行有效计算。采用多维云模型与AHP方法结合,设计了定性指标和定性数据的量化模糊评估方法,得到了定性评估结果。实验结果表明,所提出评估方法能够实现复杂评估指标体系下的模糊量化评估,在计算的准确性和模糊性方面具有较好性能。

Abstract: Considering the problem of quantitative evaluation for qualitative survivability data and indexes of network information systems, the proposed method gives a multi-level survivability evaluation framework based on cloud model theory and AHP method. The algorithm builts a multi-level evaluation indexes system and compute the weight of each index using AHP method. Moreover, a quantitative method for qualitative data and a fuzzy evaluation method are designed via multidimensional cloud model. Finally, the experimental results show that the proposed method achieves a satisfactory result in quantitative evaluation of complex qualitative indexes, and has certain advantages in terms of accuracy and fuzzy computing.

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