基于云模型和AHP的网络信息系统可生存性评估

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

Abstract

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.

Key words: survivability evaluation, multidimensional cloud model, analytic hierarchy process, fuzzy computing, weigh

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.

Figures/Tables 18

References 22

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标度a_ij	定义
1	表示2个因素相比，具有同样重要性
3	表示2个因素相比，一个比另一个稍重要
5	表示2个因素相比，一个比另一个明显重要
7	表示2个因素相比，一个比另一个非常重要
9	表示2个因素相比，一个比另一个绝对重要
246 8倒数	表示2个因素的比较值介于上述2个相邻等级之间因素i与j比较的判断值a_ij，则因素j与i比较的判断a_ji=1/a_ij,a_ii=1

维数	RI值
1	0
2	0
3	0.58
4	0.96
5	1.12
6	1.24
7	1.32
8	1.41
9	1.45

A	B₁	B₂	B₃	权重值	CR
B₁	1	3	1	0.428 6
B₂	1/3	1	1/3	0.142 8	0.000 1
B₃	1	3	1	0.428 6

B₁	C₁	C₂	C₃	C₄	权重值	CR
C₁	1	1/3	1/2	1	0.141 1
C₂	3	1	2	3	0.454 7	0.003 8
C₃	2	1/2	1	2	0.263 1
C₄	1	1/3	1/2	1	0.141 1

B₃	C₅	C₆	C₇	权重值	CR
C₅	1	1/2	2	0.297 3
C₆	2	1	3	0.539 0	0.007 9
C₇	1/2	1/3	1	0.163 8

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

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B₃	C₈	C₉	C₁₀	C₁₁	权重值	CR
C₈	1	1	1/2	3	0.239 1
C₉	1	1	1/2	3	0.239 1
						0.007 6
C₁₀	2	2	1	4	0.432 8
C₁₁	1/3	1/3	1/4	1	0.089 0

指标	B₁	B₂	B₃	A	CR
C₁	0.141 1	0.000 0	0.000 0	0.060 5
C₂	0.454 7	0.000 0	0.000 0	0.194 9
C₃	0.263 1	0.000 0	0.000 0	0.112 7
C₄	0.141 1	0.000 0	0.000 0	0.060 5
C₅	0.000 0	0.297 3	0.000 0	0.042 5
C₆	0.000 0	0.539 0	0.000 0	0.077 0	0.005 9
C₇	0.000 0	0.163 8	0.000 0	0.023 4
C₈	0.000 0	0.000 0	0.239 1	0.102 5
C₉	0.000 0	0.000 0	0.239 1	0.102 5
C₁₀	0.000 0	0.000 0	0.432 8	0.185 5
C₁₁	0.000 0	0.000 0	0.089 0	0.038 1

指标			评估标准云数字特征
C₈	轻(0,3.3,1)	较轻(20,3.3,1)	一般(40,3.3,1)	较严重(65,5,1)	严重(100,6.6,1)
C₉	不重要(0,3.3,1)	一般(30,6.6,1)	重要(65,5,1)	很重要(100,6.6,1)	—
C₁₀	低(0,6.6,1)	一般(40,6.6,1)	高(75,5,1)	很高(100,3.3,1)	—
C₁₁	很长(0,6.6,1)	长(30,3.3,1)	中等(55,5,1)	短(80,3.3,1)	很短(100,3.3,1)

指标	评估标准云数字特征
	非常差(0,0.042,0.01)
	很差(0.125,0.042,0.01)
	差(0.25,0.042,0.01)
	较差(0.375,0.042,0.01)
B₃	一般(0.5,0.042,0.0)
	较好(0.625,0.042,0.01)
	好(0.75,0.042,0.01)
	很好(0.875,0.042,0.01)
	非常好(1.0,0.042,0.01)

序号	C₈	C₉	C₁₀	C₁₁
1	40	70	90	65
2	35	65	85	55
3	50	70	85	50
…	…	…	…	…
20 000	45	65	90	70

指标			评语数据结果			最相似云模型
	轻	较轻	一般	较严重	严重
C₈	2.380 56	6.841 15	21.657 1	8.013 92	3.543 35	一般
C₉	不重要	一般	重要	很重要	—	重要
	1.795 99	4.179 71	17.573 9	5.470 48	—
C₁₀	低	一般	高	很高	—	高
	1.611 76	3.755 16	11.915 7	10.117 2	—
C₁₁	很长	长	中等	短	很短	中等
	2.137 79	6.47551	75.648 2	7.429 63	4.104 12

	指标		各指标评语	整体评估结果
		C₈	一般
		C₉	重要
B₃				可恢复性好
		C₁₀	高
		C₁₁	中等

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