【摘要】 基于模糊集模式识别理论中的“模糊贴近度”,提出了继电器产品在概念设计阶段进行结构设计的新方法。该方法首先时每种结构类型的产品建立标准模型,每个标准模型描述了相应类型的产品的典型信息; 在这里,标准模型的各个属性值均以模糊集合的形式表达。当用户提出的产品技术性能要求带有模糊性质时,则建立相应的模糊集合。然后,对于标准模型与用户的设计要求,针时同一属性计算两个模糊集合之间的贴近度,进而得到“设计要求”与每个标准模型关于全部属性的加权贴近度。最后根据“择近原则”,合理选择产品结构类型。该方法适宜应用在产品的智能设计系统中,可为产品的概念设计提供决策支持。更多还原

【Abstract】 Fuzzy closeness degree is a definition in theory of fuzzy set pattern identification. A standard model of each kind of structure of relay was built to describe its corresponding products typical information, whose attribute values were presented in terms of fuzzy sets. The closeness degree for every attribute between a standard model and an model established on users’ demand was calculated to obtain the weighted closeness degree on an all-attribute basis between the two models. Thus proper product structure was chosen according to the principle of "higher closeness degree taken for the designed model". The technique discussed above provides decision support for type selection in product conceptual design in intelligent design system.更多还原