DocumentCode :
2339859
Title :
Grey Analytic Hierarchy Process Applied to Effectiveness Evaluation for Crime Prevention System
Author :
Bu Hao ; Guo Xi ; Chen Shihong
Author_Institution :
Nat. Eng. Res. Center for Multimedia Software, Wuhan Univ., Wuhan, China
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
With the rapid development of industrialization and urbanization, crime prevention issues become serious in China each day. Many cities have established a number of crime prevention systems in order to maintain social stability. However, crime prevention system is a complex system, which is controlled by a number of interrelated factors and is difficult to estimate. To overcome the obstacles of conventional effectiveness evaluation for crime prevention system, this paper proposed an effectiveness evaluation method for crime prevention system which combined the advantages of the analytic hierarchy process (AHP) and a grey clustering method to guarantee the accuracy and objectivity of weight coefficients. After constructing an index system of crime prevention system effectiveness evaluation based on correlated factors, we calculated the weight of every index with AHP and gave an evaluation result by means of a grey clustering method. A case study was given to validate the design of the underlying grey analytic hierarchy process model. Results show the feasibility and reliability of the model, which will be helpful to realize the quantitative analysis in crime prevention system effectiveness evaluation and provide a decision support tool for decision makers.
Keywords :
computer crime; grey systems; correlated factor; crime prevention system; decision support tool; grey analytic hierarchy process; grey clustering method; Cities and towns; Clustering methods; Computer crime; Computer industry; Control systems; Electrical equipment industry; Probability; Protection; Security; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
Type :
conf
DOI :
10.1109/ICBECS.2010.5462408
Filename :
5462408
Link To Document :
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