Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm

Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm

This study proposes an optimization method based on Rough Set Theory (RST) and Particle Swarm Optimization–Support Vector Regression (PSO-SVR), aimed at enhancing the emotional dimension of outdoor micro-space (OMS) design, thereby improving users’ outdoor activity duration preferences and emotional...

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Bibliographic Details
Main Authors: Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Buildings
Subjects:
outdoor micro-space
urban design
PSO-SVR algorithm
rough set theory
Kansei engineering
Online Access:https://www.mdpi.com/2075-5309/14/12/3950
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