Neutrosophic Midrange Measure in  Bayesian Selection

Kawther F. Alhasan^1,*

¹Department of Mathematics, College of Education for Pure Science, University of Babylon, Iraq

Email: pure.kawther.fa@uobabylon,edu.iq

Abstract

Many of the problems that we face in our lives and daily work are how to directly and accurately select candidates or categories from multiple sets of candidates (categories). The ranking and selection approach is a modern and direct method for selecting categories easily, which is associated with a probability of correct selection. In this paper, we employ the neutrosophic Bayes procedure for decision to select multinomial population. Select a mid-range category for multiple categories and employ neutrosophic logic to define a modern Bayesian procedure that incorporates parameters with some indeterminacy and has a prior distribution, which we call the neutrosophic prior distribution.        

Keywords: Decision theory; Neutrosophic Bayesian approach; Neutrosophic prior distribution;   Neutrosophic posterior distribution; Midrange measure;  Selection  procedure