A Design of Fuzzy Inference System (FIS) for Prediction of Water Quality Modeling

Ground water is one of the most important natural resources for drinking water to human being in modern world, especially in rural area the supply of treated water is not available.Water quality is important factor in modern times that affects socio-economic development inappropriately and affecting human health. Water quality index (WQI) are the method widely for modelling water quality status. How ever make use of these indexes is limited by some constraints such as crisis in data base and uncertainty of decision making. In this study, the fuzzy water quality index (FWQI) were developed based on mamdani fuzzy infernce system inorder to made suitable model for assessing the drinking water quality on basics of 6 parameter physico chemical parameters. The present study thirty ground water samples were collected from the Perambalur district focus to select the fuzzy aggregation approach for estimation of the water quality index of a sample to check the suitability for drinking purpose. In this study 6 parameter pH, total hardness, total dissolved solids, Calcium and Manganese were selected for quality assessment. the output results of proposed methodology were compared with output obtained from deterministic method for the suitability of the design methodology.