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Water quality management is an important issue of relevance in the context of present times. Water quality indices are computed for classification of water wherein the integration of parametric information on water quality data and the expert's knowledge base on their importance & weights are considered. Considerable uncertainties are involved in the process of defining water quality for specific usage. The paper presents modeling of cognitive uncertainty in perception of experts or consumers and statistical uncertainty in the field data while dealing with these systems with recourse to fuzzy logic. Case study 1 presents fuzzy description of water quality in river Ganga for bathing purpose following partial implementation of pollution control strategies while case study 2 arrives at per capita water consumption of the consumers of the study area in Coimbatore, India for their level of satisfaction.