基于组合赋权的智慧养老公众满意度评价研究  

Research on Public Satisfaction Degree Evaluation of Wisdom Pension Based on Combination Weighting

作　　者：康碧芳 李佳宝 KANG Bifang;LI Jiabao(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou 363000,China;School of Business,Shanghai Normal University Tianhua College,Shanghai 201815,China;Institute of Meteorological Big Data-Digital Fujian,Zhangzhou 363000,China)

机构地区：[1]闽南师范大学数学与统计学院,福建漳州363000 [2]上海师范大学天华学院商学院,上海201815 [3]数字福建气象大数据研究所,福建漳州363000

出　　处：《海南师范大学学报(自然科学版)》2024年第4期435-443,共9页Journal of Hainan Normal University(Natural Science)

基　　金：福建省中青年教师教育科研项目(JAT190367);福建省粒计算及其应用重点实验室、数字福建气象大数据研究所和数据科学与统计重点实验室(闽南师范大学)资助项目。

摘　　要：在人口老龄化和数字化转型的双重影响下,智慧养老成为备受关注的研究热点。针对已有智慧养老满意度评价的不足,本文提出一种基于粗糙集分辨矩阵确定属性权重的方法,并将该方法与层次分析法相结合,优化组合赋权并应用于智慧养老公众满意度评价。实例分析表明主客观组合赋权能够突出核心属性分辨对象的能力,克服单一赋权的局限,从而提高了评价的精度和有效性.Under the dual influence of population ageing and digital transformation,wisdom pension has become a hot topic.Aiming at the deficiency of the evaluation of the satisfaction degree of the wisdom pension,this paper proposes a method to deter-mine the attribute weight based on the discernibility matrix of the rough set,and combines the method with the analytic hierarchy process,the combination weighting is optimized and applied to the evaluation of public satisfaction of wisdom pension.The case study shows that the subjective and objective combination of weights can give prominence to the ability of distinguishing objects of core attributes,overcome the limitation of single weights,and improve the accuracy and validity of evaluation.

关 键 词：粗糙集理论 分辨矩阵 层次分析法 智慧养老 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]