Fuzzy comprehensive evaluation of network survivability based on combinational weight

被引：0

作者：

Wu, Wen ^{[1
]}

Meng, Xiang-Ru ^{[1
]}

Ma, Zhi-Qiang ^{[1
]}

Liang, Xiao ^{[1
]}

机构：

[1] School of Information and Navigation, Air Force Engineering University

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2013年 / 35卷 / 04期

关键词：

Cloud membership; Combinational weight; Fuzzy comprehensive evaluation; Network survivability; Rough entropy;

D O I：

10.3969/j.issn.1001-506X.2013.04.18

中图分类号：

学科分类号：

摘要：

Aiming at the problem of evaluating network system survivability efficiently, the construction of index systems, weighting of indexes and synthetic evaluation method are studied. A constructing method of the network survivability index system by way of mechanism-associating is proposed, the hierarchy index system is constructed from the angle of survivability's four important attributes. A new combinatorial weighting method is given based on the index system. The subjective weight is calculated using analytic hierarchy process. The objective weights using rough entropy is calculated. The concept and calculating method of the associated weight are given. The three weights are combined into combinatorial weight using a minimum object optimization function. The fuzzy synthetic evaluation model based on cloud membership is established. The primary determinate membership function is replaced by cloud membership. The simulation results show that this evaluation method could evaluate the network system survivability accurately and efficiently.

引用

页码：786 / 790

页数：4

共 16 条

[1]

James P.S., Hutchison D., Ctinkaya E.K., Et al., Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines, Computer Networks, 54, 8, pp. 1245-1265, (2010)

[2]

Lima M.N., Santos A.L., Pujolle G., A survey of survivability in mobile Ad Hoc networks, IEEE Communications Surveys and Tutorials, 11, 1, pp. 66-77, (2009)

[3]

Ma Z.S., Krings A.W., Dynamic hybrid fault modeling and extended evolutionary game theory for reliability, survivability and fault tolerance analyses, IEEE Trans. on Reliability, 60, 1, pp. 180-196, (2011)

[4]

Ellison R.J., Fisher D.A., Linger R.C., Et al., Survivable network systems: An emerging discipline, pp. 2-7, (1997)

[5]

Wei F.L., Han Z.G., Tian Y., Et al., Survivability evaluating method of rational communication network, Journal of Information Engineering University, 7, 1, pp. 96-98, (2006)

[6]

Gierszewski T., Molisz W., Towards an ideal network: Surviv-ability issues in selected topologies, Proc. of the Ultra Modern Telecommunications and Workshops, pp. 1-6, (2009)

[7]

Heegaard P.E., Trivedi K.S., Network survivability modeling, Computer Networks, 53, 8, pp. 1215-1234, (2009)

[8]

Zuo Y.J., Lande S., Pimple M., Analysis and simulation of system survivability, Proc. of the International Conference on Information Technology, pp. 36-41, (2010)

[9]

Wang J., Wang H.Q., Zhao G.S., Fuzzy comprehensive assessment in network survivability based on the uncertain AHP, Computer Science, 33, 6, pp. 73-75, (2006)

[10]

Chen J.L., Liu X.J., Chen C., Determination of objective weight of expert based on linguistic decision matrix, Systems Engineering and Electronics, 33, 6, pp. 1310-1316, (2011)

← 1 2 →