Abstract
The processing of monitored data is the key to water quality assessment and plays an important role in the development and application of water quality assessment models. Base on fuzzy random variable, an approach for processing the monitored data of water quality is proposed in this paper. In which, all monitored data information of water quality are included into a fuzzy random variable via an interval and a probability density function. Embedded into a one-factor assessment model, the proposed approach is applied to assess water quality in Chaohu lake, located in eastern China, to verify its feasibility. The results show that the approach proposed in the research has the advantage of reducing the loss of water quality information.
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