New Similarity Measure Between Single-Valued Neutrosophic Sets and Decision-Making Applications in Professional Proficiencies

Abstract

In this study, a new similarity measure for single valued neutrosophic numbers is defined. It is shown that this new similarity measure satisfies the conditions of similarity measure. This new similarity measure is used to assess professional proficiencies. In making this assessment, it is assumed that there is an imaginary ideal worker, and the authors determined the criteria of this ideal worker. Then, the rate of similarity of each worker to the ideal worker is determined with the new similarity measure. Thus, with the help of the new similarity measure, a more objective professional proficiency assessment is made.