Title :
Research on Water Quality Monitoring Points Optimization Based on Fuzzy Similarity Method
Author_Institution :
Inst. of Autom., Zhejiang Univ. of Sci. & Technol., Hangzhou
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;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345925
