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