EURO 2024 Copenhagen
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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, 10:30-12:00
Room: 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

Status: accepted


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