Research on Water Quality Monitoring Points Optimization Based on Fuzzy Similarity Method

Author

Xiang Xinjian

Author_Institution

Inst. of Autom., Zhejiang Univ. of Sci. & Technol., Hangzhou

Volume

3

fYear

2006

fDate

16-20 2006

Abstract

Based on an analysis of the urban water pollution, a concept of fuzzy similarity is put forward in this paper. Then a new fuzzy similarity matrix of specimen vs. average is set up through normalization of multi-target specimen matrixes. According to the dispersions of different targets similarities, their weights in combination calculation are fixed and then the overall fuzzy similarity of different monitoring points is decided. Finally, an optimization scheme of monitoring points is lodged. The application proves the scheme is convenient and feasible and it also applies to other environment monitoring optimization

Keywords

condition monitoring; fuzzy set theory; matrix algebra; water pollution; fuzzy similarity matrix; fuzzy similarity method; multi-target specimen matrixes; urban water pollution; water quality monitoring points optimization; Automation; Computerized monitoring; Environmentally friendly manufacturing techniques; Industrial pollution; Optimization methods; Quality management; Reflection; Safety; Water pollution; Water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345925

Filename

4129220