Decision making with the uncertain IMOWAD operator

Abstract

PurposeThe purpose of this paper is to present a new decision making technique called the uncertain induced Minkowski OWA distance (UIMOWAD) operator.Design/methodology/approachThe developed UIMOWAD operator is a new aggregation operator that uses the IOWA operator, the Minkowski distance and interval numbers. It is an extension of the IMOWAD operator that uses uncertain information in the aggregation represented in the form of interval numbers.FindingsThe UIMOWAD operator is very suitable to deal with complex reordering processes that represent a wide range of factors in an uncertain environment that can be assessed with interval numbers.Research limitations/implicationsClearly, this paper is devoted to the OWA operator and uncertain theory.Practical implicationsThe UIMOWAD operator is applicable in a wide range of situations such as decision‐making, statistics, engineering and economics.Originality/valueThis paper fulfils an identified need to study how to make a decision according to expert's interest in uncertain environment.