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基于主成分层次分析的产品设计语义差分评价研究
引用本文:陈永超,邵永凯,安琦. 基于主成分层次分析的产品设计语义差分评价研究[J]. 包装工程, 2018, 39(22): 138-143
作者姓名:陈永超  邵永凯  安琦
作者单位:天津工业大学,天津,300387;天津工业大学,天津,300387;天津工业大学,天津,300387
基金项目:2016年天津市艺术科学规划重点项目:基于对接“一带一路”战略的京津冀一体化文化发展战略研究(E16029)
摘    要:目的 以外观设计评价为研究对象,提出一种语义差分评价方法。方法 运用主成分分析法,对初始多维语义进行主成分提取,得出综合语义指标和分值,再通过层次分析法构建综合语义指标的主观评价矩阵,最终得出综合语义分值。结论 针对46款热销女士洗发水瓶的外观设计样本,实现了语义差分评价。运用主成分—层次分析—语义差分评价的方法,实现了近似语义的归类。依据综合语义权值,得出了语义差分分值,并适用于较大样本的外观设计评价。

关 键 词:产品外观  语义差分  评价  主成分分析  层次分析
收稿时间:2018-07-12
修稿时间:2018-11-20

Semantic Differential of Product Design Evaluation Based on Principal Component Analysis and Analytic Hierarchy Process Hierarchy Process
CHEN Yong-chao,SHAO Yong-kai and AN Qi. Semantic Differential of Product Design Evaluation Based on Principal Component Analysis and Analytic Hierarchy Process Hierarchy Process[J]. Packaging Engineering, 2018, 39(22): 138-143
Authors:CHEN Yong-chao  SHAO Yong-kai  AN Qi
Affiliation:Tianjin Polytechnic University, Tianjin 300387, China,Tianjin Polytechnic University, Tianjin 300387, China and Tianjin Polytechnic University, Tianjin 300387, China
Abstract:The work aims to propose a semantic differential evaluation method with the form design evaluation as the research object. Principal component analysis was used to extract principal component from original multi- dimensional semantics to obtain the synthetical semantic indexes and scores. Then, by the analytic hierarchy process, the subjective evaluation matrix of synthetical semantic indexes was constructed to finally obtain the synthetical semantic scores. The design of semantic differential evaluation with respect to the 46 hot-sale ladies'' shampoo bottles is realized. The principal component-analytic hierarchy process-semantic differential evaluation method is applied to achieve the classification of similar semantics. According to the synthetical semantic weights, the semantic differential scores are obtained and applicable for the appearance design evaluation of larger samples.
Keywords:product form   semantic differential   evaluation   principal component analysis, analytic hierarchy process
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