Title :
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
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);
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641029
