Application of entropy measures with uncertainty in classification methods with missing data problem

The problem of measuring the degree of entropy based on precedence indicator and similarity measures under conditions of uncertainty or imprecision was studied. So we call back to the notion of precedence and similarity measures of interval-valued fuzzy sets (IVFSs) and we construct an entropy measure with uncertainty by applying for IVFSs of different orders. In addition, we discuss the impact of entropy measures reflecting the uncertainty in the decision-making problem that employed these new measures in the problem of missing values.