Decision-Refillable-Based Shared Feature-Guided Fuzzy Classification for Personal Thermal Comfort

Decision-Refillable-Based Shared Feature-Guided Fuzzy Classification for Personal Thermal Comfort

Different types of buildings in different climate zones have their own design specifications and specific user populations. Generally speaking, these populations have similar sensory feedbacks in their perception of environmental thermal comfort. Existing thermal comfort models do not incorporate pe...

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Bibliographic Details
Main Authors: Zhaofei Xu, Weidong Lu, Zhenyu Hu, Wei Yan, Wei Xue, Ta Zhou, Feifei Jiang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
thermal comfort model
interpretability
shared feature
fuzzy classification
Online Access:https://www.mdpi.com/2076-3417/13/10/6332

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https://www.mdpi.com/2076-3417/13/10/6332

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