Surface-water Water Quality Evaluation Based on Fuzzy Pattern Recognition Model

Tian-Jing CHENG, Xue-Feng YU, Qi-Qi SUN

Abstract


The water quality is affected by many factors and the water pollution degree are ambiguous concept, so the water quality assessment is a multi-factor fuzzy comprehensive evaluation. In this paper, fuzzy pattern recognition model is used to evaluate water quality, and the binary comparison method, based fuzzy set theory, is used to determine the index weigh Case study shows that we can easily use the model to distinguish the water grade ,and it enables the decider to make decision more efficient.

Keywords


Fuzzy Pattern Recognition Model, Evaluation, Water Quality


DOI
10.12783/dteees/edep2016/5934

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