This study proposes a comprehensive multi-criteria method-based framework to support aging in place by prioritizing personalized requirements of senior adults. Moving beyond traditional studies, the framework incorporates emerging dimensions such as behavioural finance, gamification, early disease detection, social robotics, sleep behaviour monitoring, medication management, and ambient assisted living systems. The main objective is to construct a holistic and data-driven perspective that reveals how the importance of different dimensions varies from person to person and to generate findings that can be used in decision support systems designed for senior adults.
The proposed model is structured around six main criteria: (1) Physical Environment, (2) Preventive Health Monitoring, (3) Assistive Living Technologies, (4) Behavioural Decision Capacity, (5) Social Engagement, and (6) Psychological Well-being. The model integrates both subjective and objective criteria, and for this hybrid structure, multi-criteria decision-making (MCDM) methods are preferred as they can simultaneously handle both types of information within a unified framework. To address uncertainty and vagueness in expert judgments, the study employs the Hesitant Fuzzy Analytic Hierarchy Process (Hesitant Fuzzy AHP). This method is particularly suitable for decision-making problems where preferences are not precisely defined and may vary across experts. It allows decision-makers to provide multiple possible evaluations simultaneously, thereby effectively capturing hesitation and ambiguity in a flexible manner. In future applications, the outcomes of this study are expected to serve as an adaptive input structure for AI-driven decision support systems that can personalize recommendations, monitor risks in real time, and optimize resource allocation.

Authors:
Gül Tekin Temur, Bahcesehir University, Türkiye
Dilan Sarpkaya, Toros University, Türkiye
Mehmet Ali Işık, Brunel University, United Kingdom

About the Presenter(s)
After graduating from the Department of Management Engineering at Istanbul Technical University, she pursued and completed her integrated Ph.D. in the same discipline, developing a strong academic foundation in analytical decision-making and systems

See this presentation on the full schedule – Saturday Schedule

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