Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, when attributes are more than one, and further bifurcated. To solve such type of problems, concept of neutrosophic hypersoft set (NHSS) was proposed [1]. The purpose of this paper is to provide the extension of NHSS into: Interval Valued, m-Polar and m-Polar interval valued Neutrosophic Hypersoft sets. The definitions of proposed extensions and mathematical operations are discussed in detail with suitable examples. Finally, concluded the present work with the future direction
Neutrosophic set is a powerful general formal framework which generalizes the concepts of classic se...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguis...
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, ...
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including...
Soft set developed by Smarandache in 2018 to Hypersoft set (HSS) to deal with multiargument approxim...
The main purpose of this research is to propose an m-polar interval-valued neutrosophic soft set (mP...
Multi-criteria decision making (MCDM) is concerned about organizing and taking care of choice and pl...
Soft set-like models deal with single argument approximate functions while hypersoft set, an extensi...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
Neutrosophic hypersoft set is the combination of neutrosophic set and hypersoft set. It resolves the...
In this paper, we present a single-valued Neutrosophic Hypersoft set, multi-valued Neutrosophic Hype...
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selec...
Hypersoft set is the generalization of soft set as it converts single attribute function to multiatt...
Soft set deals with single set of attributes whereas its generalization i.e. hypersoft set deals wit...
Neutrosophic set is a powerful general formal framework which generalizes the concepts of classic se...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguis...
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, ...
Multi-criteria decision-making (MCDM) focuses on coordination, choice and planning issues, including...
Soft set developed by Smarandache in 2018 to Hypersoft set (HSS) to deal with multiargument approxim...
The main purpose of this research is to propose an m-polar interval-valued neutrosophic soft set (mP...
Multi-criteria decision making (MCDM) is concerned about organizing and taking care of choice and pl...
Soft set-like models deal with single argument approximate functions while hypersoft set, an extensi...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
Neutrosophic hypersoft set is the combination of neutrosophic set and hypersoft set. It resolves the...
In this paper, we present a single-valued Neutrosophic Hypersoft set, multi-valued Neutrosophic Hype...
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selec...
Hypersoft set is the generalization of soft set as it converts single attribute function to multiatt...
Soft set deals with single set of attributes whereas its generalization i.e. hypersoft set deals wit...
Neutrosophic set is a powerful general formal framework which generalizes the concepts of classic se...
A similarity measure is used to tackle many issues that include indistinct and blurred information, ...
The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguis...