NDLI: Grey Analytic Hierarchy Process Applied to Effectiveness Evaluation for Crime Prevention System

Content Provider	IEEE Xplore Digital Library
Author	Bu Hao Guo Xi Chen Shihong
Copyright Year	2010
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.
Starting Page	1
Ending Page	4
File Size	276820
Page Count	4
File Format	PDF
ISBN	9781424453153
DOI	10.1109/ICBECS.2010.5462408
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability Clustering methods Probability Cities and towns Computer industry Control systems Electrical equipment industry Security Protection Computer crime
Content Type	Text
Resource Type	Article

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