Groundwater quality assessment with respect to fuzzy water quality index (FWQI): an application of expert systems in environmental monitoring

摘要: Water quality degradation affects socio-economic development inappropriately and has dire effects on human health too. indexes (WQIs) are the methods widely used for modelling water status. However, using these is limited by some constraints like deficiency of necessary database or uncertainty decision-making. Throughout ongoing research, fuzzy (FWQIs) were developed based Mamdani inference system (FIS) to overcome above-mentioned limitations. In other words, seven FWQIs models with different parameters have been triangular trapezoidal membership functions. Later, employed evaluate 17 wells in Saveh Plain, Iran. Compared conventional WQI, results showed that elimination needed FWQI did not decrease accuracy classification. omitting undesirable values made classification unreliable. According results, 35 % benefitted from proper drinking quality, while approximately 30 them suffered unsuitable very poor respectively.