In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophic sets (SNSs) in vector space, this paper proposed improved cosine similarity measures of SNSs based on cosine function, including single valued neutrosophic cosine similarity measures and interval neutrosophic cosine similarity measures
The aim of this paper is to introduce a new distance-based similarity measure for refined neutrosoph...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
In this paper, we propose new vector similarity measures of single valued and interval neutrosophic ...
In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. T...
Similarity measures are an important tool in pattern recognition and medical diagnosis. To overcome ...
In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and i...
In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based...
The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNS...
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are...
In this paper, cosecant similarity measure among n-valued interval neutrosophic sets are proposed an...
Similarity measure is an important tool in multiple criteria decision-making problems, which can be ...
Neutrosophic set is a powerful general formal framework, which generalizes the concept of the clas-s...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
A refined single-valued/interval neutrosophic set is very suitable for the expression and applicatio...
In this paper, we introduce new type of similarity measures for single valued neutrosophic sets base...
The aim of this paper is to introduce a new distance-based similarity measure for refined neutrosoph...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
In this paper, we propose new vector similarity measures of single valued and interval neutrosophic ...
In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. T...
Similarity measures are an important tool in pattern recognition and medical diagnosis. To overcome ...
In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and i...
In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based...
The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNS...
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are...
In this paper, cosecant similarity measure among n-valued interval neutrosophic sets are proposed an...
Similarity measure is an important tool in multiple criteria decision-making problems, which can be ...
Neutrosophic set is a powerful general formal framework, which generalizes the concept of the clas-s...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
A refined single-valued/interval neutrosophic set is very suitable for the expression and applicatio...
In this paper, we introduce new type of similarity measures for single valued neutrosophic sets base...
The aim of this paper is to introduce a new distance-based similarity measure for refined neutrosoph...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
In this paper, we propose new vector similarity measures of single valued and interval neutrosophic ...