DocumentCode :
624686
Title :
Modeling of thermal comfort words using interval type-2 fuzzy sets
Author :
Chengdong Li ; Jianqiang Yi ; Guiqing Zhang ; Ming Wang
Author_Institution :
Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
fYear :
2013
fDate :
9-11 June 2013
Firstpage :
626
Lastpage :
631
Abstract :
Modeling of the thermal comfort is an important issue in the research domain of smart home and intelligent buildings. This paper presents a new thermal comfort words modeling method using interval type-2 fuzzy sets (IT2 FSs) and interval survey data. First, we discuss the survey data collection and data pre-processing. Then, we propose a novel method to convert the survey intervals to their representative triangular type-1 fuzzy sets (T1 FSs) while preserving their ambiguities. And, we provide an approach to incorporate the constructed T1 FSs into one IT2 FS model. Finally, modeling results of the thermal comfort words are given. The constructed IT2 FS models have verified the reasonableness of the proposed method.
Keywords :
building management systems; civil engineering computing; data handling; ergonomics; fuzzy set theory; intelligent buildings; interval type-2 fuzzy sets; smart home; survey data collection; survey data preprocessing; thermal comfort words modeling; triangular type-1 fuzzy sets; Atmospheric modeling; Buildings; Data models; Frequency selective surfaces; Fuzzy sets; Standards; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
Type :
conf
DOI :
10.1109/ICICIP.2013.6568150
Filename :
6568150
Link To Document :
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