Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Cross-domain Applications of Fuzzy Logic and Machine Learning
Guest editors: Ekaterina Isaeva and Álvaro Rocha
Article type: Research Article
Authors: Bo, Liminga | Cheng, Shidana; * | Li, Dannib
Affiliations: [a] School of Urban Design, Wuhan University, Hubei Province, China | [b] School of Architecture, Chang’an University, Xi’an, China
Correspondence: [*] Corresponding author. Shidan Cheng, School of Urban Design, Wuhan University, Wuhan City, Hubei Province, China. E-mail: [email protected].
Abstract: Green buildings have many advantages that traditional buildings do not possess, but there are still problems such as insufficient promotion and application. One of the important reasons is the lack of pertinent evaluation of green buildings. The current assessment of the economic benefits of green building design is still at a qualitative stage, and there is a lack of quantitative assessment methods and models. Based on this, this study establishes a green building design evaluation index system including cost and economic benefits. In the cost estimation, a nonlinear evaluation model based on data mining is designed to ensure a better estimation accuracy and credibility. In the evaluation of economic benefits, an incremental benefit evaluation model based on fuzzy mathematics is designed to evaluate its comprehensive economic benefits in a quantitative way. The results of data simulation show that the least squares support vector machine has achieved a good balance between the estimation time and accuracy. The comprehensive evaluation model proposed in this paper has strong operability and good evaluation effect, which is of great significance to promote the development of green building design.
Keywords: Green building design, data mining, fuzzy mathematics, comprehensive evaluation
DOI: 10.3233/JIFS-179759
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6815-6823, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]