基于实例推理的个性化产品评价方法

Evaluation Method of Individualized Products Based on Case Reasoning

通过建立个性化产品评价问题的形式化描述,给出了基于实例推理的评价模型与算法,运用模糊数学实现了实例库的自主聚类分组,提出了经验赋权规则约束下的数学赋权法为每一个组别建立动态权重,采用了加权的欧几里德距离解决相似实例的检索问题,在相似实例的基础上进行修正得到最终评价结果。最后以桥式起重机产品的评价为例,给出了详细的实现步骤,证明了该方法的有效性。

The problems of the individualized product evaluation were formalized, and a product evaluation model with algorithms based on case reasoning was proposed. The case library was divided into groups through fuzzy clustering analysis, and different groups had different dynamic weights by mathematical calculation under the constraints of experience rules. The program flow chart of the algorithm of evaluation parameter weights optimization was presented. Euclidean distance with weights was adopted to search a similar instance. The final result of product evaluation was adjusted based on the similar instance. The proposed methodology demonstrated the effectiveness in an instance of the evaluation of crane products.