摘要
使用一种新的自组织数据挖掘方法模糊规则归纳法根据GMDH技术自动地从数据中提取模糊规则形成更自然语言描述的模糊模型阐述了模糊规则归纳法的算法原理及建模步骤并给出了四川经济发展的建模研究实例分析出影响GDP增长的主要因素展示了模糊规则归纳法的突出特点文中还对模糊规则归纳法和GMDH方法进行了比较说明模糊规则归纳法进行因素分析的优越性
In this paper we use a new self-organizing data mining methodFuzzy Rule Induction(FRI), which extracts Fuzzy rules based on GMDH technique from the data autonomously to form the Fuzzy Model described in a more natural language. Some principles and processes of FRI method are developed in this paper. A model case about the economy in SiChuan Province of China is presented to analyzing some critical factors affecting the increase of GDP of SiChuan, while the related suggestions of policy are derived from this foundation. In addition, the comparison between the FRI and the GMDH has showed the advantage of FRI in anglicizing factor.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2002年第1期92-96,共5页
Journal of University of Electronic Science and Technology of China