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

Yan-hua LIU; Guo-long CHEN; Rui-fen WU

doi:10.3969/j.issn.1000-436x.2014.08.014

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

Academic paper | 更新时间：2024-10-11

- Survivability evaluation of network information system based on the cloud model and analytic hierarchy process
- Journal on Communications Vol. 35, Issue 8, Pages: 107-115(2014)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-436x.2014.08.014
  CLC： TP309.2
- Online First：2014-08，
  
  Published：25 August 2014
- 稿件说明：
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Yan-hua LIU, Guo-long CHEN, Rui-fen WU. Survivability evaluation of network information system based on the cloud model and analytic hierarchy process[J]. Journal on Communications, 2014, 35(8): 107-115.
DOI：

Yan-hua LIU, Guo-long CHEN, Rui-fen WU. Survivability evaluation of network information system based on the cloud model and analytic hierarchy process[J]. Journal on Communications, 2014, 35(8): 107-115. DOI： 10.3969/j.issn.1000-436x.2014.08.014.

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 de-signed 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 accu-racy and fuzzy computing.

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references

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