产品设计中的模糊信息处理方法  

Method of fuzzy information processing in product design

作　　者：张惠娟[1] 李玲玲[1] 刘锋国[1] 李志刚[1] 

机构地区：[1]河北工业大学电气与自动化学院,天津300130

出　　处：《仪器仪表学报》2006年第z1期828-830,841,共4页Chinese Journal of Scientific Instrument

基　　金：河北省博士基金(05547003D-3)资助项目

摘　　要：产品设计信息中存在着许多模糊因素。为了在这种情况下获得合理的设计解,本文完成了如下两项工作:(1)为了正确选择产品的结构类型,首先采用数理统计的方法从已有的产品实例中提取带有模糊性质的领域知识,然后基于模糊识别原理解决该问题;(2)为了在基于实例的推理中处理产品设计要求中的模糊信息,完成实例的模糊匹配,实例的各特征值都被表达为模糊数。作为一种知识处理方法,本文方法可应用在ICAD系统中,实现产品设计的智能化。There are many fuzzy factors during the product design.To carry the design work out and find the proper solution under these fuzzy restraints,the following two parts are investigated:(1) In order to select the structure type of product properly,the theory of statistics is adopted to extract fuzzy field-knowledge from the existing product cases,and then the solution is found by the method of fuzzy recognition.(2) In order to process the fuzzy design-requirements of product in Case-based Reasoning(CBR),every eigenvalue of cases is represented as a fuzzy number and then the case-matching is realized.As a method of knowledge processing,it can be used in intelligent computer aided design(ICAD) system to implement intelligent design.

关 键 词：产品设计 模糊信息 结构选型 基于实例的推理(CBR)实例匹配 智能CAD 

分 类 号：TH7-55[机械工程—仪器科学与技术]