Fractional-Order Generalized Inaccuracy Measures Based on Copula and Associated Properties and Applications: Accepted April 2026

In this work, we propose some inaccuracy measures based on fractional-order generalized survival and distributional copula functions. Several associated properties, including bounds of the inaccuracy measures, are obtained. Jeffreys’ inaccuracy measures, using the survival and distribution copula functions-based inaccuracy measures, are also introduced and are studied. Moreover, estimation of the proposed measures using a semiparametric technique is discussed further. Finally, a trivariate real dataset relating to the “Pima Indian Diabetes” is considered, and a model selection is made on it through the proposed inaccuracy measure for the purpose of illustration.