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Indoor comfort assessment of objective and subjective information by fusion and fuzzy inference decision
This study describes the development of a new methodology for assessment of indoor comfort in buildings. The assessment not only includes the objective environmental information but also subjective feeling information. It is based on the calculation of two indexes: objective assessment (OA) and subjective assessment (SA). The results of OA and SA are standardized in a unified scale by fuzzy fusion and adaptive fusion separately. Starting from the values of OA and SA indexes, both of them are integrated by fuzzy inference decision to comprehensive comfort results. The proposed method allows the classification of the indoor comfort level. The methodology would therefore help for an assessment in the context of building assessment, where satisfactory indoor conditions are sought, improving environmental and economic performance of the building.
Indoor comfort assessment of objective and subjective information by fusion and fuzzy inference decision
This study describes the development of a new methodology for assessment of indoor comfort in buildings. The assessment not only includes the objective environmental information but also subjective feeling information. It is based on the calculation of two indexes: objective assessment (OA) and subjective assessment (SA). The results of OA and SA are standardized in a unified scale by fuzzy fusion and adaptive fusion separately. Starting from the values of OA and SA indexes, both of them are integrated by fuzzy inference decision to comprehensive comfort results. The proposed method allows the classification of the indoor comfort level. The methodology would therefore help for an assessment in the context of building assessment, where satisfactory indoor conditions are sought, improving environmental and economic performance of the building.
Indoor comfort assessment of objective and subjective information by fusion and fuzzy inference decision
Si, Yifang (Autor:in) / Yu, Junqi (Autor:in) / Wang, Nan (Autor:in) / Ding, Xisheng (Autor:in) / Guo, Teng (Autor:in) / Yuan, Longfei (Autor:in)
Intelligent Buildings International ; 8 ; 234-245
01.10.2016
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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