标题: | Discovering fuzzy association rules using fuzzy partition methods |
作者: | Hu, YC Chen, RS Tzeng, GH 科技管理研究所 Institute of Management of Technology |
关键字: | data mining;fuzzy partition;association rules;decision making |
公开日期: | 1-四月-2003 |
摘要: | Fuzzy association rules described by the natural language are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. In this paper, a new algorithm named fuzzy grids based rules mining algorithm (FGBRMA) is proposed to generate fuzzy association rules from a relational database. The proposed algorithm consists of two phases: one to generate the large fuzzy grids, and the other to generate the fuzzy association rules. A numerical example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstrating the effectiveness of the proposed algorithm. (C) 2002 Elsevier Science B.V. All rights reserved. |
URI: | http://dx.doi.org/10.1016/S0950-7051(02)00079-5 http://hdl.handle.net/11536/28010 |
ISSN: | 0950-7051 |
DOI: | 10.1016/S0950-7051(02)00079-5 |
期刊: | KNOWLEDGE-BASED SYSTEMS |
Volume: | 16 |
Issue: | 3 |
起始页: | 137 |
结束页: | 147 |
显示于类别: | Articles |
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