Application of Attribute Recognition Model Based on Coefficient of Data-Driven to Evaluation Water Quality

Author

Zou, Zhihong ; Wang, Lejuan

Author_Institution

Sch. of Econ. & Manage., Beihang Univ., Beijing

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

514

Lastpage

518

Abstract

In order to overcome the weakness of subjectivity in determining weight coefficient of fuzzy comprehensive evaluation method, an attributes recognition method based on coefficient of data-driven is built up, and the weight is determined by the data-mining thinking through comprehensive utilization of classification criteria information and sample information. Utilization of this model to evaluate the water quality of Fuqiao River reservoir verifies its feasibility. Through comparison with traditional fuzzy synthetic evaluation method and attribute recognition model based on coefficient of entropy, the attribute recognition model based on coefficient of data-driven can get more objective evaluation results.

Keywords

data mining; fuzzy set theory; pattern classification; quality management; reservoirs; rivers; water pollution control; water supply; Fuqiao River reservoir; attribute recognition model; classification criteria information; data mining; fuzzy comprehensive evaluation method; traditional fuzzy synthetic evaluation method; water quality evaluation; Artificial neural networks; Conference management; Entropy; Environmental economics; Fuzzy systems; Knowledge management; Quality management; Rivers; Water pollution; Water resources; Attribute Recognition; Data-driven; Water Qlity Evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.484

Filename

4666031