APPLICATION OF FUZZY LOGIC TO DETERMINE THE QUALITY OF URBAN WASTEWATER IN SPLIT, CROATIA

Water quality management is the most significant environmental activity today. Water quality indicators were estimated according to classification, where the integration of water quality parameters and Water Quality Regulations were taken into consideration. In this paper, the concept of a fuzzy set theory has been applied for decision making about upgrading wastewater treatment process in Split. Presented data, obtained from the laboratory of the City municipal services managing drainage and primary treatment of wastewater, is referred to the three locations during two years. Based on the fuzzy set rules, that represent water quality after primary treatment via linguistic terms, the degrees of membership were computed from the Gauss curve. Water quality, at one location, was estimated as "good" with the highest degree of membership of 0.476, while at the other two locations, regarding to highest degrees of membership (0.981 and 0.351), water quality was estimated as "fair". Obtained results can be used in selection of potential locations for upgrade of primary waste-water treatment.