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Rough set theory and its application in the intelligent systems

TL;DR: The basic ideas of rough set theory are introduced, the notion of up and low approximation sets, attribute reduction, core and some extensions of roughSet theory are presented, and the application of rough Set theory in intelligent systems is explored.
Abstract: The rough set theory is a new mathematical tool to study vague and uncertain information, and is widely used in intelligent systems. In this paper, the basic ideas of rough set theory are introduced,and the notion of up and low approximation sets, attribute reduction, core and some extensions of rough set theory are also presented. Then the application of rough set theory in intelligent systems is explored, mainly including data preprocessing method by using attribute reduction based on rough set theory, analysis of correlations between attributes and system, modeling and control. Finally, the difficulties and possible fields for the application of rough set theory are discussed.
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Proceedings ArticleDOI
21 Apr 2008
TL;DR: A statistical control method based on control micro-unit, which facilities programming on microprocessor for its high computing speed and high efficiency control of the simulation, is proposed.
Abstract: In terms with the characteristic of real-time control of system on analog signal, propose a statistical control method based on control micro-unit, define a statistical steady coefficient to expend control micro-unit; obtain quantization control state statistical figures by quantization statistical identification; define the average statistical state deviation, statistical trend, statistical overshooting, end deviation and so on. Meanwhile, identify the proportional relationship between the parameters and the control increments, confirm statistical control policy and optimization qualification; present the design scheme of the adaptive memory incremental controller. It has a high resolution of control parameters so as to enable the object rapid, smooth and reliable. The statistical increment control method facilities programming on microprocessor for its high computing speed and high efficiency control of the simulation. Combining distributing control systempsilas characteristics, present application examples of simulation statistical control.

3 citations

Journal ArticleDOI
TL;DR: The basic theory ofgranular computing, the methods, technology and current situation of granular computing are analyzed, and the hot issues of Granular computing in an intelligent transportation system are discussed.
Abstract: With the continuous development of the cities, the traffic situation has gradually become a topic of concern. The concept of an intelligent transportation system has been proposed and developed. In the field of intelligent transportation, the traffic data has gradually increased. People have higher demands to real time data. The traditional data processing methods and tools have become unable to meet the needs of urban transport development. In this paper we analyzed the basic theory of granular computing, the methods, technology and current situation of granular computing. Besides, we discussed the hot issues of granular computing in an intelligent transportation system. Finally, granular computing in the development of intelligent transportation fields was also discussed.

3 citations

Proceedings ArticleDOI
30 Sep 2008
TL;DR: A long-distance intelligent marking method is proposed and is applied to carry out the process of training threshold value and weight coefficient, prone to detect analog signals fast and precise and to ensure the reliability of data transfer.
Abstract: The paper puts forward a variable threshold value artificial neuron structure. The neural function between the output and input can be accurately trained by increasing the density of threshold value. Combined with characteristic of distributed control systems, a long-distance intelligent marking method is proposed and is applied to carry out the process of training threshold value and weight coefficient. The method is prone to detect analog signals fast and precise. A timing duplicate marking method is presented to ensure the reliability of data transfer. The simulation of the model is carried out, simulation results of nonlinear function are provided.

2 citations