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View all- Zhou FDu XLi WLu ZHuang S(2023)Fidan: a predictive service demand model for assisting nursing home health-care robotsConnection Science10.1080/09540091.2023.226779135:1Online publication date: 27-Oct-2023
Evaluation index system and methodology for actively responding to ageing population
Authors: 
Sijing Yang, Aihua Li, Guijun LiAuthors Info & Claims
Sijing Yang, Aihua Li, Guijun LiAuthors Info & ClaimsPages 497 - 502
Abstract
Ageing population is a challenge faced by the global community. According to international standards for measuring ageing society, China has entered the ageing society since 2000. Currently, actively responding to ageing population has become one of China's national strategies. Increasingly, actively responding to ageing population is gaining greater attention, but there lacks a comprehensive evaluation index system and model. Based on China's real situations, we scientifically and comprehensively construct an evaluation index system for actively responding to ageing population, using source statistical surveys, social tracking surveys and other multi-source heterogeneous data. Best-Worst Method (BWM) and K-means clustering algorithm are used here to evaluate ageing population measuring nationwide with a scientific and comprehensive index system. This paper also analyses and evaluates the measurement taken by 31 districts in China, thus carrying both theoretical and practical implications. With the emergence of big data for government administration, the rigor of the evaluation outcome will enhance.
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Published: 11 April 2022
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View all- Zhou FDu XLi WLu ZHuang S(2023)Fidan: a predictive service demand model for assisting nursing home health-care robotsConnection Science10.1080/09540091.2023.226779135:1Online publication date: 27-Oct-2023
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