Multi-criteria decision making (MCDM) is concerned about organizing and taking care of choice and planning issues including multi criteria. When attributes are more than one, and further bifurcated, neutrosophic softset environment cannot be used to tackle such type of issues. Therefore, there was a dire need to define a new approach to solve such type of problems, So, for this purpose a new environment namely, Neutrosophic Hypersoft set (NHSS) is defined. This paper includes basics operator’s like union, intersection, complement, subset, null set, equal set etc., of Neutrosophic Hypersoft set (NHSS). The validity and the implementation are presented along with suitable examples. For more precision and accuracy, in future, proposed operatio...
In this paper we introduce the concept of neutrosophic soft expert set (NSES). We also define its ba...
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, ...
In this paper, we first introduce the concept of single valued neutrosophic soft expert sets (SVNSES...
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selec...
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including...
In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concep...
Soft set deals with single set of attributes whereas its generalization i.e. hypersoft set deals wit...
Soft set-like models deal with single argument approximate functions while hypersoft set, an extensi...
The aim of this paper is to introduce some new operators for aggregating single-valued neutrosophic ...
Hypersoft set is the generalization of soft set as it converts single attribute function to multiatt...
Simplified neutrosophic sets (SNSs) can effectively solve the uncertainty problems, especially those...
Soft set developed by Smarandache in 2018 to Hypersoft set (HSS) to deal with multiargument approxim...
The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguis...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
In this paper, the new approach for multi-criteria decision-making (MCDM) problems is developed base...
In this paper we introduce the concept of neutrosophic soft expert set (NSES). We also define its ba...
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, ...
In this paper, we first introduce the concept of single valued neutrosophic soft expert sets (SVNSES...
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selec...
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including...
In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concep...
Soft set deals with single set of attributes whereas its generalization i.e. hypersoft set deals wit...
Soft set-like models deal with single argument approximate functions while hypersoft set, an extensi...
The aim of this paper is to introduce some new operators for aggregating single-valued neutrosophic ...
Hypersoft set is the generalization of soft set as it converts single attribute function to multiatt...
Simplified neutrosophic sets (SNSs) can effectively solve the uncertainty problems, especially those...
Soft set developed by Smarandache in 2018 to Hypersoft set (HSS) to deal with multiargument approxim...
The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguis...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
In this paper, the new approach for multi-criteria decision-making (MCDM) problems is developed base...
In this paper we introduce the concept of neutrosophic soft expert set (NSES). We also define its ba...
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, ...
In this paper, we first introduce the concept of single valued neutrosophic soft expert sets (SVNSES...