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4387. Developing an Evaluation System for Health-Smart Homes for the Elderly Based on Dynamic Z-Number Fuzzy Delphi Method
Invited abstract in session TB-7: Behavioural Studies in Health Care , stream Behavioural OR.
Tuesday, 10:30-12:00Room: 1019 (building: 202)
Authors (first author is the speaker)
1. | JIAN-HUA XIA
|
Department of Intelligent Life Technology, Huafan University | |
2. | Jhy Ping Jhang
|
Department of Intelligent Life Technology, Huafan University | |
3. | HUANG SUN-WENG.
|
Department of Health Care Management, National Taipei University of Nursing and Health Sciences | |
4. | Gwo-Hshiung Tzeng
|
Graduate Institute of Urban Planning, National Taipei University |
Abstract
Traditional smart homes emphasize the convenience brought by information technology, yet the elderly face certain challenges in accepting and mastering technological capabilities. Thus, understanding what constitutes an elderly-friendly health-smart home according to their expectations becomes a focal point in housing policies for ultra-aged societies. This study aims to construct an evaluation framework for health-smart homes based on exploring the perspectives of the elderly. Firstly, a semi-open format will be utilized to collect indicators of concern for the elderly. Secondly, dynamic Z-number will be employed to quantify the inconsistency and uncertainty in the decision-making process of the elderly. Finally, fuzzy Delphi method will be utilized to gather decision consensus. The research outcome will establish standards for evaluating elderly-friendly health-smart homes, contributing to the overall development of housing policies in ultra-aged societies.
Keywords
- Decision Analysis
- Decision Support Systems
- Sustainable Development
Status: accepted
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