Fuzzy Neural Network Technology In The Tax Assessment

With the rapid development in the building of information in taxation bureau, a great number of data have been generated from each respective application system, such as CTAIS, OA, etc. However, as these data are placed dispersedly, meaning differentiated, it is hard to turn these data into useful information. All of these data should be integrated, transformed, cleaned, extracted and loaded to data warehouse that help to change the data valuable. And organizations need the suitable knowledge to operate their business.In order to serve managers more conveniently to make up their decisions and to solve problems in ratepaying evaluation in the past, this paper presents an approach, that is, making use of fuzzy neural network in data mining. This paper introduces some basic theories, models and methods of fuzzy logic, neural network, Analyses the advantage and shortage in data mining, and explains the necessary of combining the two methods. The method puts forward a new way to improve the value in using of data. By comparing and analysing several methods, this paper brings up the advantage of stochastic learning automation. According to this method, emulation result has worked out. The result shows that it has better effect in finding out data value. Based on this method, this paper discusses how to audit the information of taxpayers accurately. It helps the administration of taxation to make decisions.