Volume 6 Number 2 (Feb. 2011)
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JCP 2011 Vol.6(2): 232-239 ISSN: 1796-203X
doi: 10.4304/jcp.6.2.232-239

Research on the Effectiveness Evaluation and Risk Optimization of Crime Prevention System Based on Fuzzy Theory and AHP Model

Zhigang Yang
School of Computer, Chongqing University of Arts and Sciences, YongChuan, ChongQing, 402160, China

Abstract—with the rapid development of industrialization, security situation becomes more and more serious in China. Many cities have established crime prevention systems in order to maintain social stability. With the number of crime prevention system increasing, we need to assess their effectiveness in a scientific and objective manner and establishes a risk optimization model on crime prevention system. In this paper, we first apply the Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods in the model analysis. We not only solve the problem of interference on subject factors in traditional qualitative method for crime prevention system, but also improve the assessment objectively. In the next stage, we conduct the simulation experiment according to the specific examples of crime prevention system. The case study shows that the assessment results are consistent with the reality and this method can be reasonably used for the effectiveness evaluation of crime prevention system. Finally, combinatorial optimization technology is used to calculate the risk optimization model and a concrete example is given out to verify the model reasonably. We believe this work contributes to the theoretical framework guiding the design, development, and deployment of the crime prevention system.

Index Terms—Effectiveness Evaluation, Risk Optimization, Fuzzy Theory, AHP, Crime Prevention System

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Cite: Zhigang Yang, "Research on the Effectiveness Evaluation and Risk Optimization of Crime Prevention System Based on Fuzzy Theory and AHP Model," Journal of Computers vol. 6, no. 2, pp. 232-239, 2011.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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