標題: 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
關鍵字: data mining;fuzzy partition;association rules;decision making
公開日期: 1-Apr-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
起始頁: 137
結束頁: 147
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