On the sensitivity of weighted general mean based type-2 fuzzy signatures

Abstract

Fuzzy signatures offer a possible way of describing, modeling and analysing of complex systems, when the exact mathematical model is not known or too difficult to handle. In these cases the input values have uncertainties, due to lack of knowledge or human activities. These uncertainties have influence on the final decision about the system. The uncertainties are taken into consideration as fuzzy sets, for example representing the uncertainty of a linguistic variable. In this paper we discuss the input sensitivity of type-2 weighted general mean aggregation operator and fuzzy signatures which are equipped with general means as aggregation operators.