摘要
基于模糊数学原理和证据理论,提出了综合处理不确定性设计信息、合理选择产品机械结构类型的方法.为此,首先利用已有的产品实例为每个产品子类提取一组设计规则,并为每个子类构造一个可以描述其典型特征的模糊向量;然后在模糊机制下统一处理以普通实数、实数域上的区间值和模糊数表达的设计信息,采用模糊推理、证据理论等不精确推理方法处理不确定性信息,确定产品类型.上述方法可作为智能设计系统求解设计问题的推理策略,并实现知识的自动获取.通过一个选型设计的实例,验证了该方法的正确性.
Based on fuzzy mathematics theory and evidential theory, a method to process uncertain information comprehensively and reasonably select products＇ mechanical structure type is presented. Firstly, aset of design principles of each product sub-class is extracted by utilizing existing products cases and then a fuzzy vector to describe typical characteristics of each sub class is constructed. Furthermore, design information represented by general real number, sections and fuzzy sets is processed in the same way. Product type is determined by adopting inexact reasoning including fuzzy reasoning and evidential theory. The above method can be used as reasoning strategy for solution-seeking problem of intelligent design system and it can realize automatic knowledge acquisition. Through an illustration of type selection, the validity of this method is demonstrated.
出处
《工程设计学报》
CSCD
北大核心
2006年第5期281-285,共5页
Chinese Journal of Engineering Design
基金
河北省博士基金资助项目(05547003D-3)
关键词
产品机械结构选型
证据理论
小确定性信息
不精确推理
machine structure type selection of product
evidential theory
uncertain information
inexact reasoning
