Paper
9 January 2008 Research on risk evaluation arithmetic based on modularization model
Yiliang Liu, Lily Wei
Author Affiliations +
Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67943Z (2008) https://doi.org/10.1117/12.784013
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
Abstract
The analytic hierarchy process is an important quantizing evaluation model approach for risk evaluation, but it also exist some variable to make quantize difficult and the calculation amount increase with the complex degree of system become more deeply. The fuzzy synthesis judgment introduces the fuzzy concept into the risk evaluation, solves the problem of difficult to quantize of risk evaluation in some degree, but it is not enough intuitive for evaluating result corresponding to the subsystem, and lack of guidance meaning for structure designing and maintaining the actual system security. The paper introduces M-REM (modularization based risk evaluation model) method. It breaks up the large system into several modules, and every model has corresponding evaluation entities. Model risk is obtained by computing the risk of evaluation entity and expert marking method, agglomeration analysis method, entropy method and weight average method are applied to resolve the important variable (weight) when computing risk. According to realization of the weight arithmetic of important factors and the analysis of evaluation result, M-REM could efficiently exert delaminating and parallel of the layered model method and implement the instructing effect on safe structure designing and maintaining for actual system.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiliang Liu and Lily Wei "Research on risk evaluation arithmetic based on modularization model", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67943Z (9 January 2008); https://doi.org/10.1117/12.784013
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KEYWORDS
Information security

Fuzzy logic

Network security

Structural design

Complex systems

Analytical research

Data modeling

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