Application of fuzzy pattern recognition model in the Urban Sustainable Development Evaluation

Author

Liu, Xifeng ; Yu, Xuefeng ; Yu, Kui ; Zhang, Xiaowei

Author_Institution

Sch. of Hydraulic & Electr. Eng., Heilongjiang Univ., Harbin, China

fYear

2010

fDate

29-30 Oct. 2010

Firstpage

671

Lastpage

674

Abstract

Urban Sustainable Development Evaluation (USDE) involves various indexes, such as economic indexes, social indexes and environmental indexes. These indexes have both qualitative ones and quantitative ones, so they are suitable for fuzzy comprehensive evaluation. This paper applies ordered binary comparison method of Engineering Fuzzy Set Theory (EFST) proposed by Prof. Chen Shouyu to determine the index weight, and then use fuzzy pattern recognition model of EFST for USDE. Finally, it expounds the practical application of the method with an example.

Keywords

fuzzy set theory; pattern recognition; sustainable development; town and country planning; economic index; engineering fuzzy set theory; environmental index; fuzzy comprehensive evaluation; fuzzy pattern recognition model; index weight; social index; urban sustainable development evaluation; Artificial neural networks; Biological system modeling; Economic indicators; Indexes; Integrated circuits; Fuzzy pattern recognition model; Ordered binary comparison method; Urban sustainable development; evaluation (USDE);

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Education (ICAIE), 2010 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-6935-2

Type

conf

DOI

10.1109/ICAIE.2010.5641029

Filename

5641029