直觉模糊关联规则挖掘及算法研究  

Algorithm of mining intuitionistic fuzzy associate rules

作　　者：樊雷[1] 雷英杰[1] 

机构地区：[1]空军工程大学导弹学院,陕西咸阳713800

出　　处：《计算机工程与设计》2008年第5期1184-1187,共4页Computer Engineering and Design

基　　金：陕西省自然科学基金项目(2006F18)

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。The technology of mining intuitionistic fuzzy associate rules is described to the problem of ＂sharp boundary＂ in consecutive attributes dispersing. The conceptions related the technology is described and the conceptions of intuitionistic fuzzy nonsupport and nonconfidence are presented. The metric mechanism of ＂support-nonsupport-confidence-nonconfidence＂ is introduced. The basic principles ofintuitionistic fuzzy associate rules is described, and an algorithm of mining intuitionistic fuzzy associate rules is given. Through experiments on the development of economic index, the application of the algorithm is testified.

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 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]