The Incremental Knowledge Acquisition Algorithm Based on Granular Computing
Zhang Qing-hua①② Xing Yu-ke② Zhou Yu-lan②
①(College of Mathematics & Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) ②(Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
Abstract：A new incremental knowledge acquisition method based on granular computing theory is proposed. First, an original knowledge granule tree is established according to the decision-making information system. Then, for any new additional data, its matched knowledge granule in original knowledge granule tree is found at first, and then the original knowledge granule tree is updated according to the corresponding decision-making value. The new method is an efficient tool for processing dynamic data information. Both algorithm analysis and experiment results show that the new method for processing dynamic information systems and acquiring corresponding rules is superior to RGAGC and ID4 respectively.
2011, Vol. 33 
