A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified algorithm Łukasiewicz fuzzy disjunction would be appropriate optimize water samples. maximum output values were set one apply disjunction. concentrations of samples considered from for naturally occurring chemicals health significance. Materials positive effects on body profit criteria, whereas other ones negative impacts human cost criteria. analysis unmodified showed criteria having high low had dominant candidates’ ranking. ranking second series same as first. However, value 1.0 fourth candidate’s concentration nitrite, which resulted TOPSIS, attributed confusion undrinkable categories. optimization results could applied science engineering based their distinction