Abstract: A case-based reasoning system for mass customization is presented to facilitate the reuse of knowledge or experience that lies in past decision projects. The case’s knowledge representation model for mass customization decision is presented, which covers the case’s information of background, alternatives, solving methods, process and results, etc. The algorithm designed for measuring case similarity is described, which is based on fuzzy mathematics. A software prototype with the functionalities of case retrieval, adaptation, reuse and rules discovering is implemented and verified to be effective and efficient for decision-making under mass customization.

Key words: case-based reasoning, mass customization, knowledge management, fuzzy match

摘要： 针对大规模定制决策的特点，为实现决策案例的重用，提出了一种面向大规模定制决策问题的案例库系统，设计了基于框架结构的案例知识表示模型，介绍了基于模糊加权的案例相似度计算和匹配算法，该算法解决了大规模定制决策问题的结构化表达、检索匹配和重用问题，开发了案例库的原型系统以支持案例管理、推理和基于案例的规则发现。

关键词: 案例推理, 大规模定制, 知识管理, 模糊匹配

CLC Number: 

• TH16