Utilization of Fuzzy Set Theory for Interpretation of Data of Investigations of Soil Contamination by Heavy Metals

Abstract

Data evaluation of investigations of soil contamination by heavy metals is very important for decision of regional planning problems. In this study utilization of fuzzy set theory for interpretation of data of investigations of soil contamination by heavy metals is presented. Several simple fuzzy indicator models are elaborated. Case of the use of linguistic variables is discussed. Utilization of triangular fuzzy numbers (TFN) for assessment of soil contamination by heavy metals is developed. The theoretical consideration is illustrated by simple examples.