Development of fuzzy fish pond water quality model

Significant water quality assessment method in water system is vital in an environmental management. Various classification techniques have been implemented as part of water quality prediction in aquaculture. However, inconsistency repeatedly arises from haziness of water maintenance-operation; different standard in water criteria leverageas well as decisionentrenched in the decision making output values. Conventional Water Quality Index (WQI) confronted difficulties regarding imprecision when water quality conditions are incorporated with regard to numerous elements, traits, nutrients, and hazardous potentials. Hence, this paper presented a study in water quality assessment for fish pond associating fuzzy logic system and conventional method. The model is based on observation made from commercial fish pond located in Sungai Besar. Initial findings proven that the proposed fuzzy inference system (FIS) are capable and successfully complement divergences and complex circumstances. In future, the proposed pond water quality model can be prolonged to define thenon-regulated contaminants in water.