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直觉模糊关联规则挖掘及算法研究
引用本文:樊雷,雷英杰.直觉模糊关联规则挖掘及算法研究[J].计算机工程与设计,2008,29(5):1184-1187.
作者姓名:樊雷  雷英杰
作者单位:空军工程大学,导弹学院,陕西,咸阳,713800
摘    要:针对关联规则挖掘中连续属性离散化时的"尖锐边界"问题,提出了一种用直觉模糊集合理论来改进关联规则挖掘的方法,定义了直觉模糊非支持度和非置信度的概念,阐述了"支持度-非支持度-置信度-非置信度"的关联规则挖掘度量机制.描述了直觉模糊关联规则挖掘的基本原理和算法,并给出了算法的基本步骤,最后用实例验证了此算法的有效性.

关 键 词:数据挖掘  直觉模糊集  频繁项目集  支持度  置信度  直觉模糊关联规则  直觉模糊关联规则挖掘算法
文章编号:1000-7024(2008)05-1184-04
修稿时间:2007年4月19日

Algorithm of mining intuitionistic fuzzy associate rules
FAN Lei,LEI Ying-jie.Algorithm of mining intuitionistic fuzzy associate rules[J].Computer Engineering and Design,2008,29(5):1184-1187.
Authors:FAN Lei  LEI Ying-jie
Affiliation:FAN Lei,LEI Ying-jie(Missile Institute,Air Force Engineering University,Xianyang 713800,China)
Abstract:The technology of mining intuitionistic fuzzy associate rules is described to the problem of sharp boundary in consecutive at-tributes dispersing.The conceptions related the technology is described and the conceptions of intuitionistic fuzzy nonsupport and non-confidence are presented.The metric mechanism of support-nonsupport-confidence-nonconfidence is introduced.The basic principles of intuitionistic fuzzy associate rules is described,and an algorithm of mining intuitionistic fuzzy associate rules is giv...
Keywords:data mining  intuitionistic fuzzy sets  frenquent itemsets  confidence  support  intuitionistic fuzzy associate rules  algorithm of mining intuitionistic fuzzy associate rules  
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