Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method-Reference-Cited by-同舟云学术

Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method

Published:2013-09-11 Issue:11 Volume:17 Page:2075-2088
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Li Chengdong,Zhang Guiqing,Wang Ming,Yi Jianqiang

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-013-1117-4.pdf

Reference47 articles.

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4. Chanas S (2001) On the interval approximation of a fuzzy number. Fuzzy Set Syst 122(2):353–356

5. Chen Q, Wan J, Fan Y, Wang G (2008) Effects of the indoor temperature change on the air-conditioning energy consumption (in Chinese). Refrig Air Cond 22(3):107–109

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