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Kansei-oriented and artificial intelligence-driven framework for mutual aid elderly care service optimization

delete2025-05-29
delete0
PRE
AI
E
En-Min Xu
Z
Zhen-Zhen Ye
J
Jing-Qi Ruan
G
Guanghai Yang
C
Ching‐Hung Lee
DOI：10.1016/j.aei.2025.103489delete
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Abstract

Abstract

En 中文
• Proposing a Kansei-oriented and Aitificial Intelligence-driven optimization framework for mutual aid elderly care services. • Modifying and integrating Kansei Engineering, Convolutional Neural Network (CNN) and TRIZ in service optimization design. • Proposing a new method for evaluating the importance of Kansei words. • Integrating Kansei elements into the TRIZ methodology. • Providing six innovative optimization solutions for the “Time Banking” elderly care model.

Journal

Advanced Engineering Informatics cover
Advanced Engineering Informatics
IF:
9.9
Papers:
4.0K
Citations:
1.7W

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No organization information available