基于A-Kano和BCXmotifs的智慧居家养老服务和人群双聚类分析

    A-Kano and BCXmotifs-based Biclustering of Services and Elders in Smart Home Elderly Care

    • 摘要: 智慧居家养老是我国积极应对人口老龄化,满足大规模、高质量养老需求的新型模式。该模式下,服务人群众多、需求复杂多样,如何准确识别居家养老人群需求类型,并进行有效人群细分,是解决当前智慧居家养老服务供需不匹配问题的关键所在。基于此,本文提出了一种基于A-Kano和BCXmotifs的智慧居家养老人群和服务双聚类分析方法。首先,针对传统Kano模型需求类型识别的主观性问题,通过构建A-Kano指标和分类器,以实现居家养老人群对智慧居家养老服务需求类型的精准识别。其次,针对BiMax、BCCC等双聚类算法只能处理二元数据类型或通过相似度分析进行聚类的问题,设计BCXmotifs算法进行双聚类分析,以获得具有相同需求结构及类型的养老人群。最后,以山东省某市老年人为研究对象,对所提模型和方法进行了实证验证以及敏感性分析。

       

      Abstract: Smart home-based elderly care is a novel approach for China to actively respond to population aging and address the growing demand for large-scale and high-quality elderly care. Under this mode, the service population is vast and the needs are complex and diverse. Accurately identifying the types of needs and effectively segmenting the elderly population are key to addressing the current mismatch between supply and demand in smart home-based elderly care services. To this end, this paper proposes a biclustering analysis method for elderly population and services based on the A-Kano model and the BCXmotifs algorithm. First, to address the subjectivity issue of the traditional Kano model in demand classification, A-Kano indicators and classifiers are developed to achieve precise identification of demand types for smart home-based elderly care services. Second, to overcome the limitations of existing biclustering algorithms such as BiMax and BCCC, which either only handle binary data or rely on similarity-based clustering, a BCXmotifs algorithm is designed for biclustering analysis to obtain elderly groups with the same demand structures and types. Finally, taking the elderly residents in a city of Shandong Province as the study object, effectiveness of the proposed model and method is empirically verified and a sensitivity analysis is conducted.

       

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