Combine knowledge and similarity measure to solve Single valued Neutrosophic set MCDM problems

Abstract

The Neutrosophics set have been paid attention of researchers using in many fields in the 
practice.  It is a useful tool to deal with those complex problems. In this paper, we first investigat 
the knowledge measures on the Single neutrosophic set. Then, we introduce a new similarity 
measure of SNS that overcomes the restriction of some already existing similarity measure cases. A 
proposed measure-based multi-criteria decision-making (MCDM) model was constructed. In this 
model the knowledge measure to determine the weight of each criterion and similarity measure to 
rank the alternatives. This model applied to solve the agricultural land selection. Finally, the 
comparison results are presented to illustrate the effectiveness of the proposed method. 

DOI: 10.5281/zenodo.14708798