CAJ | 학술논문

电子商务网站评价知识规则是对电子商务网站的运行情况和工作质量进行评价的重要依据，优质、合理的知识规则将使评价更加公正、更加客观。在分析并建立电子商务网站评价指标体系的基础上，将一种改进的遗传算法用于电子商务网站评价的知识规则挖掘，提出了一种基于遗传算法的电子商务网站评价知识规则挖掘方法。该方法利用选择算子、助长算子、交叉算子和变异算子来产生新的知识规则，使用正确度、覆盖度和可信度来对知识规则进行评价。实例表明，这种方法在进行知识规则挖掘时是完全可行的和有效的。
전자상무망참평개지식규칙시대전자상무망참적운행정황화공작질량진행평개적중요의거，우질、합리적지식규칙장사평개경가공정、경가객관。재분석병건립전자상무망참평개지표체계적기출상，장일충개진적유전산법용우전자상무망참평개적지식규칙알굴，제출료일충기우유전산법적전자상무망참평개지식규칙알굴방법。해방법이용선택산자、조장산자、교차산자화변이산자래산생신적지식규칙，사용정학도、복개도화가신도래대지식규칙진행평개。실례표명，저충방법재진행지식규칙알굴시시완전가행적화유효적。
E-commerce website evaluation depends on the knowledge rules to a large extent. In this study, the evaluation index system of E-commerce website is established and the representation method of knowledge rule is analyzed firstly. Then, a method for mining knowledge rules of E-commerce website evaluation based on an improved genetic algorithm is proposed. In the algo-rithm, selection operator, help operator, crossover operator and mutation operator are used to generate new knowledge rules. Knowledge rules are evaluated by their accuracy, coverage and reliability. Experimental results show that this method for mining knowledge rules is feasible and valid.