语意比较法——产品语意识别的准确方法  

Product Semantics Comparison——an Accurate Method for Product Semantics Identification

作　　者：杨颖[1] 张艳河[1,2] 雷田[1,3] 

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027 [2]华南农业大学艺术学院,广州510640 [3]华中科技大学机械科学与工程学院,武汉430074

出　　处：《机械工程学报》2009年第10期166-171,共6页Journal of Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划;2004AA1Z2390);国家自然科学基金(60503068)资助项目

摘　　要：分析产品语意的用户识别机制,据此提出产品语意比较法(Semantics comparison method,SCM),该方法由产品语意分类、排序与评估组成。以工业缝纫机为对象,应用语意差异法(Semantics differential method,SDM)和SCM进行识别试验,试验结果表明,线性模型较非线性模型更适合描述设计要素与产品语意的关系,据此构建了SCM与SDM的线性模型,并分析两种方法的准确性。分析结果表明,SCM与SDM的线性拟合误差分别为0.450i和0.572i,设计要素对产品整体语意的解释分别为91.0%与87.2%。两项指标都证明SCM是一种更准确的产品语意识别方法,因而有望应用于产品外形设计。The product semantics comparison method （SCM）, which is composed of product semantics （PS） classification, arrangement and evaluation, is proposed by analyzing the PS identification mechanism. Taking industrial sewing machines as object, an identification experiment is conducted by using semantics differential method （SDM） and SCM respectively. The experimental results show that the linear model is more accurate than the nonlinear one in describing the relationship between four factors＇ PS and product whole PS. Hereby, the linear models of SCM and SDM are established, and both models＇ accuracies are analyzed. The analytical results show that the linear models＇ error of SCM and SDM are 0.450i and 0.572i respectively. In addition, four factors can explain 91.0% and 87.2% changes of whole PS in the linear models of SCM and SDM. The results indicate that, SCM is more accurate than SDM and can be expected to gain wide application in product design.

关 键 词：语意比较法 语意差异法 产品语意识别 

分 类 号：TH166[机械工程—机械制造及自动化]