Attribute Reduction Algorithms, And Text Similarity Computing In The Intelligent Analysis System

Without doubt, the development of informationization come into being far-reaching influence to current police work and its direct exhibition is accelerating transformation of current police's work mode. Police behavior is formed by administrative behavior and behavior of investigating which conclude investigate case of conduct write down on spot, material evidence obtain and keep, confirm or get rid of suspect, etc. important duty of Public Security among them. For the needs of these duties of better performance, when the case analyze, the demand for the modern information technology to using of public security department is more and more urgent. For example, a very important process in course is intelligent analysis, but the past method is got-up analysis that use a lot of manpower and material resources and it's effect is not marked. So the thesis try hard to do some technical analysis and realize it on case's analysis. The technologies used among them are attribute reduction and Chinese text similarity computing based on word segmentation.Firstly, the attributes reduction algorithm is studied under the incomplete information systems. A new attributes reduction algorithm is put forward based on tolerance relation, and the effectiveness is illustrated by an example analyzing. And a antetype system for the incomplete information systems for the police system on the basis of the tolerance relation attributes reduction is designed. According to it, a new decision-making approach can be provided to improve case-analysis's timely as well as make the analysis more veracity. The model, which tends to solve the case-intelligent-analysis problems, can be both widely used and expanded..In Chinese information processing, text similarity computing is widely used in the area of information retrieval, machine translation, automatic question-answering, text mining and etc. It's a question of much essential and important that people study as a hotspot and difficulty for a long time. In this paper, on the basis of analysis and contrast of existing text similarity computing methods, a new text similarity method is put forward based on How-net combined. The realization of Chinese text word segmentation and similarity computing with computer system is put forward and carry through many testing. IT texts are tested as example to validate the method that used. The research and its outcome will have valuable reference and good applicable prospect to many domains in Chinese information processing especially in technological text similarity computing.This thesis directs meet the policemen's actual demand. After the two technologies has been described and improved, the thesis realize intelligent analysis and prove it exactness through the experiment.