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This approach employs TOPSIS and group decision-making in elderly care, indicating potential improvements in service matching efficiency.
Considering the rare application of picture fuzzy numbers in bilateral matching group decision‐making, an elderly care service matching group decision‐making approach based on TOPSIS and the group consistency is proposed. First, the problem of multi‐attribute many‐to‐one elderly care service matching group decision‐making considering double intermediaries in a picture fuzzy environment is described. Second, the comprehensive objective evaluation matrix is obtained by aggregating multiple objective evaluation matrices of online platforms as the first intermediary. According to picture fuzzy subjective evaluation matrices of the elderly and the comprehensive objective evaluation matrix of online platforms, integrative evaluation matrices of the elderly side are obtained. Similarly, according to picture fuzzy subjective evaluation matrices of elderly care institutions and the objective evaluation matrix of the community as the second intermediary, integrative evaluation matrices of the elderly care institutions side are obtained. Third, satisfactions under each attribute are calculated according to TOPSIS, and attribute weights are calculated by the improved BWM. On this basis, global satisfactions are obtained. Furthermore, a one‐to‐one stable matching model is constructed by introducing virtual subjects. Hence, the best elderly care service matching scheme is obtained by model solution. Finally, an example is given to verify the feasibility and effectiveness of the proposed approach.
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Yue et al. (2025) studied this question.
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