| 摘要: |
| 目的 实现客户定制需求精准全面的自动获取。方法 以人机系统设计理论为基础，构建考虑客户情境信息的情境—需求本体模型并运用Apriori算法挖掘两者之间的映射规则。结论 由客户情境信息映射到客户定制需求信息的关联规则，可以实现根据客户情境信息推导出对应的定制需求信息。运用情境—需求本体模型和关联规则挖掘算法可以实现由客户情境信息自动获取规范化的客户定制需求信息，更符合人机系统设计理论。 |
| 关键词: 客户定制 人机系统 情境—需求本体模型 需求挖掘 Apriori算法 |
| DOI：10.19554/j.cnki.1001-3563.2021.04.011 |
| 分类号:TB472 |
| 基金项目:陕西省教育厅专项科研计划项目(18JK0324);陕西省社会科学界联合会项目(20ZD195-95) |
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| Customized Demand Mining Based on Situation-Demand Ontology |
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ZHAO Xiao-hui, ZHOU Ai-qin,SHI Yang-bin, WEI Yan-fang, WANG Kai-feng
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(Xi’an Polytechnic University, Xi’an 710048, China)
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| Abstract: |
| The work aims to achieve accurate and comprehensive automatic acquisition of customer customization requirements. Based on the theory of man-machine system design, a situation-demand ontology model that took into account customer context information was constructed and the Apriori algorithm was used to mine the mapping rules between them. An association rule is derived from the mapping of customer context information to customized customer demand information, which can be used to derive corresponding customized demand information based on customer situation information. The application of situation-demand ontology model and association rule mining algorithm can automatically obtain standardized customized customer demand information from customer situation information, and the acquired customized demand information is more in line with the theory of man-machine system design. |
| Key words: customer customization man-machine system situation-demand ontology model demand mining Apriori algorithm |
