集成技术
集成技術
집성기술
Journal of Integration Technology
2013年
3期
9-13
,共5页
鄂旭%周津%侯建%张龙昌%毕嘉娜
鄂旭%週津%侯建%張龍昌%畢嘉娜
악욱%주진%후건%장룡창%필가나
粗糙集%不完备食品安全信息系统%容差关系相似矩阵%广义决策函数%折半启发式算法
粗糙集%不完備食品安全信息繫統%容差關繫相似矩陣%廣義決策函數%摺半啟髮式算法
조조집%불완비식품안전신식계통%용차관계상사구진%엄의결책함수%절반계발식산법
rough set%incomplete food safety information system%tolerance relationship similar matrix%generalized decision function%binsearch heuristic algorithm
本文针对不完备食品信息系统提出了一种基于粗糙集理论的评价属性相对约简方法。本文利用粗糙集等价关系的扩展,即容差关系为基础提出容差关系相似矩阵的概念。然后通过引入广义决策函数的限制来解决不完备信息系统约简的不一致性问题,通过容差关系相似矩阵求不完备信息系统的核属性,再利用属性在容差关系相似矩阵中出现的频率给出了属性重要度的计算公式,利用属性重要度为约简的启发式规则,并运用折半启发式算法减少扩展次数,提高约简速度。实验表明该方法是简单有效的。
本文針對不完備食品信息繫統提齣瞭一種基于粗糙集理論的評價屬性相對約簡方法。本文利用粗糙集等價關繫的擴展,即容差關繫為基礎提齣容差關繫相似矩陣的概唸。然後通過引入廣義決策函數的限製來解決不完備信息繫統約簡的不一緻性問題,通過容差關繫相似矩陣求不完備信息繫統的覈屬性,再利用屬性在容差關繫相似矩陣中齣現的頻率給齣瞭屬性重要度的計算公式,利用屬性重要度為約簡的啟髮式規則,併運用摺半啟髮式算法減少擴展次數,提高約簡速度。實驗錶明該方法是簡單有效的。
본문침대불완비식품신식계통제출료일충기우조조집이론적평개속성상대약간방법。본문이용조조집등개관계적확전,즉용차관계위기출제출용차관계상사구진적개념。연후통과인입엄의결책함수적한제래해결불완비신식계통약간적불일치성문제,통과용차관계상사구진구불완비신식계통적핵속성,재이용속성재용차관계상사구진중출현적빈솔급출료속성중요도적계산공식,이용속성중요도위약간적계발식규칙,병운용절반계발식산법감소확전차수,제고약간속도。실험표명해방법시간단유효적。
For incomplete food safety information system, this paper proposes a direct method of attribute relative reduction based on rough set theory. This reduction method gives the concept of tolerance relationship similar matrix via using an extension of equivalence relationship of rough set theory, which is called tolerance relationship. It solves the problem of inconsistency in the incomplete information system through the introduction of restrictions of the generalized decision function. It calculates the core attributes of incomplete information systems via the tolerance relationship similar matrix. It applies attribute significance, which this paper puts forward based on attribute frequency in the tolerance relationship similar matrix, as the heuristic konwledge. It makes use of binsearch heuristic algorithm to calculate the candidate attribute expansion so that it can reduce the expansion times to speed up reduction. Experiment results show that this method is simple and effective.