Abstract
A hybrid method to comprehensively assess the water quality level was proposed by combining triangular fuzzy numbers, Monte Carlo approaches, and fuzzy matter element model, which can provide more meaningful information for the environmental protection agency. The model was applied to assessment of water quality in the Bosen Lake. The results implied that water quality level for the Bosten Lake is level III, and the water quality of sampling sites were S7 > S13 > S17 > S9 > S11 > S15 > S12 > S14 > S10 > S1 > S6 > S16 > S5 > S4 > S3 > S2 > S8. The methodology can be employed to deal with uncertainty and fuzzy data by stochastically simulating their distribution characteristics, and obtain a better understanding of water quality levels.
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