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Algorithm Research & Explore
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2284-2288

Fuzzy association rules mining method based on GSO optimization MF in uncertainty data

Zhang Wumei1,2
Dong Qiong1
1. State University of New York, Oswego, New York 13126, USA
2. Zhejiang Tongji Vocational College of Science & Technology, Hangzhou 310023, China

Abstract

In order to solve the problem of mining fuzzy association rules in uncertainty data, this paper proposed a new method of mining fuzzy association rules based on optimization of membership function(MF) by group search optimization(GSO) algorithm. Firstly, it represented the uncertainty data by the 3-tuples linguistic representation model. Then, given an initial MF, it obtained the best MF by optimizing learning of GSO algorithm with maximum support of fuzzy item sets and semantic interpretability as a fitness function. Finally, it used the improved FFP-growth algorithm to mine the fuzzy association rules from the uncertain data according to the best MF obtained. Experimental results show that this method can adaptively optimize MF based on data set, so as to effectively mine association rules from uncertain data.

Foundation Support

国家自然科学基金资助项目(71561018)
浙江省教改项目(jg20160405)
全国教育信息技术研究项目(166223123)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0076
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2284-2288
Serial Number: 1001-3695(2019)08-009-2284-05

Publish History

[2019-08-05] Printed Article

Cite This Article

章武媚, 董琼. 不确定性数据中基于GSO优化MF的模糊关联规则挖掘方法 [J]. 计算机应用研究, 2019, 36 (8): 2284-2288. (Zhang Wumei, Dong Qiong. Fuzzy association rules mining method based on GSO optimization MF in uncertainty data [J]. Application Research of Computers, 2019, 36 (8): 2284-2288. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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