CAJ | 학술논문

水产品安全知识发现是食品安全监管的一项重要内容，也是食品安全评价与预警的前提和基础。针对水产品安全信息系统中的规则发现问题，文中采用粗糙集理论，从理论、算法及应用三个层次进行了研究，提出了一种面向水产品安全信息系统的规则提取新方法。该方法在保持原水产品安全信息系统分类能力的前提下，通过数据挖掘技术发现数据中蕴涵的知识模式，精简水产品安全决策规则。实验表明该算法是有效可行的。
수산품안전지식발현시식품안전감관적일항중요내용，야시식품안전평개여예경적전제화기출。침대수산품안전신식계통중적규칙발현문제，문중채용조조집이론，종이론、산법급응용삼개층차진행료연구，제출료일충면향수산품안전신식계통적규칙제취신방법。해방법재보지원수산품안전신식계통분류능력적전제하，통과수거알굴기술발현수거중온함적지식모식，정간수산품안전결책규칙。실험표명해산법시유효가행적。
Aquatic product safety knowledge discovery is one of the important contents in food safety supervision and management. And more,it is the premise and foundation of food safety evaluation and early warning. To deal with it,a new method for rule extraction orien-ted aquatic product safety information system was proposed based on rough set from theory,algorithm and application angles. Under the condition of maintaining the classification capacity,find the potential knowledge mode through data mining technology and reduce the food safety decision rules. Experimental results indicate the algorithm is effective and feasible.