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Criminal propensity and risk degree quantifying method and system based on AHP

A tendency and danger technology, applied in the field of big data processing, can solve the problem of difficult to judge the danger degree of prisoners, and achieve the effect of quantifying the tendency and danger degree of criminals

Active Publication Date: 2014-04-30
杭州华亭科技有限公司
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Problems solved by technology

However, the information generated by these systems has not been effectively processed and analyzed. At present, in prison management, only the method of classifying criminals is proposed, and the basic theory of personal danger is put forward. Simple classification of inmates according to the length of sentence is carried out in actual operation. It is difficult to judge the degree of danger of prisoners

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  • Criminal propensity and risk degree quantifying method and system based on AHP
  • Criminal propensity and risk degree quantifying method and system based on AHP
  • Criminal propensity and risk degree quantifying method and system based on AHP

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Embodiment Construction

[0014] The present invention is further described below in conjunction with specific embodiment, but protection scope of the present invention is not limited thereto:

[0015] Such as figure 1 As shown, an AHP-based method for quantifying criminal tendency and risk includes the following steps:

[0016] 1) Collect the file information of prison inmates and store it in the data center;

[0017] 2) Connect various business systems of the prison, including meeting system, family telephone system, one-card system, psychological counseling system, scoring and assessment system, prison investigation management system, roll call system, simulation training system, and comprehensive evaluation system, with the data center, The information it generates is transmitted to the data center in real time;

[0018] 3) Classify and store the prisoner information in the data center according to reform information, external factors, prison environment, personal status, prison investigation sta...

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Abstract

The invention relates to the large data processing technology in a computer information system, in particular to a criminal propensity and risk degree quantifying method and system based on the AHP. The calculated flow scheduling and optimization algorithm is used for achieving efficient collecting and extracting of service data. Based on a prison condition analyzer and the AHP algorithm is adopted, the criminal propensity and the risk degree are quantified and classified. According to the criminal propensity and risk degree quantifying method and system, prison service information is effectively processed and utilized. By means of the pairwise comparison matrix algorithm, a sequence is protected against damage caused by one-time fault and the problem that the criminal propensity and the risk degree are hard to quantify is solved.

Description

technical field [0001] The invention relates to a big data processing technology in a computer information system, in particular to an AHP-based method and system for quantifying criminal tendency and risk. Background technique [0002] With the development of prison informatization, a large number of criminal management business systems have been built, including criminal prison administration system, criminal law enforcement system, life and sanitation system, family telephone system, meeting management system, and psychological counseling system; including video surveillance system, access control system, etc. System, alarm system, digital power grid, external vehicle personnel entry and exit management system, emergency command auxiliary decision-making system and a large number of security systems. The construction of these systems provides a large amount of effective basic data for the collection, analysis, and judgment of prison conditions. However, the information g...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 黄步添钱和良施政金晓东
Owner 杭州华亭科技有限公司
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