Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers

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Abstract

As the population ages and families become less able to offer care, the need for long-term care among older people increases. Evaluation of daycare centers, which provide localized long-term care services, is essential for the growth and direction of these institutions. Nevertheless, the present evaluation indexes do not adequately emphasize the significance of each index item or the actual effectiveness of an organization’s operations and management. To solve this issue, the purpose of this research was to develop an evaluation model for the operation and administration of daycare centers. Experts were consulted to collect pertinent criteria, which were further assessed using the Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) techniques. The results indicated that organizational operation management was the top priority, with administrative operation management and service quality management having the largest impact on productivity. Among the 10 daycare services tested, Institution 3 was judged to have the highest score. These findings shed light on the operational management effectiveness of daycare centers and give a novel evaluation methodology for gauging the efficacy of nursing management.

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Wang, C. N., Pan, C. F., Nguyen, H. P., & Fang, P. C. (2023). Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers. Mathematics, 11(8). https://doi.org/10.3390/math11081793

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