Toward Symmetry in Accessible Restrooms Design: Integrating KE, RST, and SVM for Optimized Emotional-Functional Alignment

Accessible restrooms must reconcile code-based functionality with the affective expectations of disabled users. This study develops an integrated Kansei Engineering (KE)–Rough Set Theory (RST)–Support Vector Machine (SVM) workflow that converts user emotions into verifiable design guidelines. Survey...

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Bibliografische Detailangaben

Hauptverfasser:	Zimo Chen, Jingwen Tian, Hongtao Zhou, Duan Wu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-05-01
Schriftenreihe:	Buildings
Schlagworte:	Kansei engineering rough set theory support vector machine emotional-functional alignment data-driven
Online-Zugang:	https://www.mdpi.com/2075-5309/15/9/1567
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