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角色模型的粗集-模糊聚类分析方法 被引量:1

Fuzzy clustering method of personas construction based on rough set
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摘要 角色分析可以满足产品个性化设计系统中对于用户模型构建的需要。提出了基于粗集的模糊聚类角色分析与模型构建方法,通过构造基于粗集的模糊相似矩阵、确定角色属性的模糊相似聚类分析方法,从用户调研数据中提取典型用户属性特征,构建角色模型。该方法完善了角色分析在产品设计中的应用方法,有助于快速生成概念产品设计模型与方案。 Personas analysis can help to construct user model of personalized design system and understand the Essential factors of user needs better. To this purpose, Fuzzy Clustering Method of Personas Construction Based on Rough Set(FCM PCBRS) is proposed in this paper. It extracts typical user attribute characteristics with fuzzy clustering analysis of the data from user research. It builds representative persona templates and database of user demand personalized features. Relational data between user demand model and product conceptual design model constructs subsequently to meet the query needs of personalized design system. FCM PCBRS improves the personas analytical method, and contributes to make product conceptual design easier to locate per- sonalized information of the target users and quickly generates product concept model and design.
作者 吴勘
出处 《计算机工程与应用》 CSCD 2013年第11期31-34,57,共5页 Computer Engineering and Applications
基金 西安市科技计划项目-西安文理学院科研创新基金专项项目(No.CXY1134WL33) 陕西省教育厅专项科研计划项目(No.12JK1110)
关键词 角色分析 模糊聚类 粗糙集 用户模型 persona analysis fuzzy clustering rough sets user model
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参考文献14

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二级参考文献32

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