On Deneutrosophication

Abstract

Deneutrosophication is a process to evaluate real output from neutrosophic information. The paper
presents on a novel deneutrosophication algorithm. The process is developed with similarity measure and
probability density function (PDF). This similarity measure is newly defined to prepare a correct transformation
from neutrosophic set (NS) to fuzzy set (FS). Then an approach to find PDF is formulated which relates with
fuzzy set. Finally, the algorithm has been implemented in solving a critical path problem to find out the
completion time of a certain project.