Similarity measures play an important role in pattern recognition and medical diagnosis, and then existing medical diagnosis methods deal scarcely with the multi-period medical diagnosis problems with neutrosophic information
Similarity measure is an important tool in multiple criteria decision-making problems, which can be ...
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are...
In this paper, the correlation measure of neutrosophic refined(multi-) sets is proposed. The concept...
Because of the increased volume of information available to physicians from advanced med-ical techno...
Medical diagnosis is a disease identification process that matches symptoms with diseases based on t...
In this paper, cosecant similarity measure among n-valued interval neutrosophic sets are proposed an...
In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. T...
In this paper, we present the use of single-valued neutrosophic sets in medical diagnosis by using d...
This paper proposes hybrid vector similarity measures under single valued refined neutrosophic sets ...
In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. ...
Employing the concept and function of tangency with similarity measures and counterpart distances fo...
The similarity measure is used to tackle many issues that include indistinct as well as blurred info...
This paper proposes a generalized distance measure and its similarity measures between single valued...
This paper introduces the concept of a single valued neutrosophic multiset (SVNM) as a generalizatio...
In this work we use the concept of a ’n’-valued refined neutrosophic soft sets and its properties to...
Similarity measure is an important tool in multiple criteria decision-making problems, which can be ...
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are...
In this paper, the correlation measure of neutrosophic refined(multi-) sets is proposed. The concept...
Because of the increased volume of information available to physicians from advanced med-ical techno...
Medical diagnosis is a disease identification process that matches symptoms with diseases based on t...
In this paper, cosecant similarity measure among n-valued interval neutrosophic sets are proposed an...
In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. T...
In this paper, we present the use of single-valued neutrosophic sets in medical diagnosis by using d...
This paper proposes hybrid vector similarity measures under single valued refined neutrosophic sets ...
In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. ...
Employing the concept and function of tangency with similarity measures and counterpart distances fo...
The similarity measure is used to tackle many issues that include indistinct as well as blurred info...
This paper proposes a generalized distance measure and its similarity measures between single valued...
This paper introduces the concept of a single valued neutrosophic multiset (SVNM) as a generalizatio...
In this work we use the concept of a ’n’-valued refined neutrosophic soft sets and its properties to...
Similarity measure is an important tool in multiple criteria decision-making problems, which can be ...
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are...
In this paper, the correlation measure of neutrosophic refined(multi-) sets is proposed. The concept...
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