Research And The Application On Data Mining Based On Fan Boolean Algebra

In recent years, with the fast development of information construction and the artificial intelligence studying in our country, to obtain knowledge automatically have become the "bottleneck "of its development. Data Mining is a new technology that combines Artificial Intelligence with database technology, deal with how to obtain valuable knowledge and message among mass data intelligently and automatically, can solve the problem of obtaining knowledge automatically to a certain extent. For the data collecting system of the intellectual traffic system has already accumulated a large number of traffic flow data, utilize Data Mining technology, can make these data not only be the service of the system of control in intellectual traffic systems, also offer support for the decision system and system of inducing etc. This text proposes utilizing a new Data Mining technology based on Fan Boolean Algebra as the way of explaining the data and analyses data in the intellectual traffic system.This article has simply introduced the Data Mining technology and its development at first, and put forward the new feasible method to its current situation and development prospect and the wholly requirement in use. namely explored the feasibility of combining Fan Boolean Algebra with the Data Mining technology.Introduced Fan Boolean Algebra theory as a whole, after analyzing and studying of it, concluded that: the characteristic of Fan Boolean Algebra has determined that it can solve the extant problem of Data Mining to a certain extent, for example, it can guarantee the result after data mining to be usable , assured and construable;can solve the problems about expression difficulty of complicated concept, correlation of attributes emphasized incompletely and redundant examining;it can set up the unified model of Fan Boolean in a certain system;and it can promote the developmental research of new decision support system.This text introduced how to apply the data mining technology combining with Fan Boolean Algebra to the intellectual traffic system especially. In the article aim against the traffic flow of the single crossing of the city, utilize the preliminary analysis result of such new data mining technology;choose to adopt the real-time control strategy of multiphase;to the decision rule that is drawn, set up systematical decision model of Fan Boolean Algebra. The assessment and optimizing made in stimulation analysis indicated: such new data mining technology improves the management and controlling in real time, superior to the previous controlling technology of traffic flow.In the end, applied this new Data Mining technology to obtain the knowledge time and again, utilized the result of the data mining to the mimic decision system of controlling traffic signal, and eventually accomplished the designing of multiphase real-time controlling modeling of single interaction which proposed by this article in CPLD.