Evaluation of Smart Elderly Care Service Modes in Urban Communities from the Perspective of Ecosystem Theory under Neutrosophic and HyperSoft Set environments

The growth of elderly populations in urban communities has created a strong need for smarter and more integrated elderly care services. In this study, we develop a decision-making framework using ecosystem theory to evaluate different smart elderly care service modes. To handle uncertainty and complexity in the decision process, we use the SWARA method for calculating the criteria weights and the MAIRCA method for ranking the alternatives, all under Neutrosophic and HyperSoft Set environments. Six criteria and seven different service modes are analyzed based on expert evaluations. The results show that Integrated Smart Health Platforms are the most effective, while Robot-Assisted Living ranks lowest. Sensitivity analysis also confirms the stability of the proposed model. This study provides a practical decision-making tool for policymakers and urban developers.