计算技术与自动化
計算技術與自動化
계산기술여자동화
Computing Technology and Automation
2015年
3期
64-66
,共3页
属性一致度%属性约简%模糊聚类分析
屬性一緻度%屬性約簡%模糊聚類分析
속성일치도%속성약간%모호취류분석
attribute consistency degree%attribute reduction%fuzzy cluster analysis
在属性一致度的概念和性质基础之上,提出一种基于属性一致度的属性约简算法。利用一致度构造属性间模糊相似矩阵,并用模糊聚类分析方法对属性重要性作了分类,从而得到动态属性分类图,得到了与粗糙集属性约简方法完全一致的结果。最后,用实例表明算法的有效性。
在屬性一緻度的概唸和性質基礎之上,提齣一種基于屬性一緻度的屬性約簡算法。利用一緻度構造屬性間模糊相似矩陣,併用模糊聚類分析方法對屬性重要性作瞭分類,從而得到動態屬性分類圖,得到瞭與粗糙集屬性約簡方法完全一緻的結果。最後,用實例錶明算法的有效性。
재속성일치도적개념화성질기출지상,제출일충기우속성일치도적속성약간산법。이용일치도구조속성간모호상사구진,병용모호취류분석방법대속성중요성작료분류,종이득도동태속성분류도,득도료여조조집속성약간방법완전일치적결과。최후,용실례표명산법적유효성。
Based on the concept and nature of the attribute consistent degree,this paper proposed a consistent degree of attribute reduction algorithm based on the attribute.By using the same degree of fuzzy similar matrix between tectonic at-tribute,and using the fuzzy clustering analysis method,the attribute importance was classified,and then the dynamic attrib-ute classification diagram was obtained,which is completely consistent with that obtained by using the rough set attribute re-duction method.Finally,an example was used to show the effectiveness of the algorithm.