Fuzzy Classification Algorithm Based on Mutually Restraint
On the basis of most steady state structure of rigid bodies in physical theory, this paper regards data set as physical object, and proposes a dummy digital substantiation viewpoint and some conceptions such as representative data five element groups and model restraint. Then, the algorithm of elasticity based four-point center and borderline (EFCBA) and the algorithm of based on mutual restrict fuzzy data classification (MRFCA) are presented. They have the main features as follows: l)To combine data set with some concepts of physics, they put forward to the thinking of data substantiation, and lay the foundation of getting representative data of irregular figures and unknown boundary sets; 2) They alleviate the effect caused by irregularity of figures to getting set determination features, and enhance the representation of representative data in set; 3) Classification algorithm has a strong power in classifying, and it has a strong ability to identifying unknown data as well as a strong selfadaptive. The experiment shows the EFCBA enhanced data represented, alleviated the graphics irregularitys influence; The MRFCA used the characteristic of represent data effectively, enhanced the classifications accuracy, and had the good adaptive ability and unknown data classification ability.
graphics irregularity dummy digital substantialization classification fuzzy
LINGHU Dazhi LI Taoshen ZHANG Zhizhong WU Xinli
School of Business Guangxi University Manning,China School of Computer,Electronics and Information Guangxi University Nanning,China Department of Information Nanning College for Vocational Technology Nanning,China College of Xingjian Arts and Science Guangxi University Nanning,China
国际会议
上海
英文
2090-2093
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）