This paper presents an extended decision making of soft set to multi-valued information systems. By the notion of multi-soft sets, the concept of domination between two soft sets is proposed. Then the highest value of domination is used for the best selection as a decision attribute. The technique gives an alternative solution for attribute-based decision making, instead of the best choice of object as a standard soft set in Boolean-valued information system
Rough set was defined by Pawlak in 1982. Concept of soft set was proposed as a mathematical tool to ...
Rough set theory is used in data mining through complex learning systems and uncertain information d...
The belief interval-valued soft set (BIVSS) combines soft set theory and belief interval value (Demp...
In this paper, we present an alternative technique of decision making through parameterization reduc...
Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014Internationa...
Rough set theory provides a methodology for data analysis based on the approximation of information ...
Soft set tackles a single set of attributes whereas its extensionhypersoft set is projected for deal...
In this paper, a decision model based on a fuzzy soft set and ideal solution approaches is proposed....
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
AbstractSoft sets theory, initiated by Molodtsov, is an emerging tool to deal with uncertain problem...
Research on information and communication technologies have been developed rapidly since it can be a...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concep...
The soft set theory is a mathematical tool to represent uncertainty, imprecise, and vagueness is oft...
We put forward a completely redesigned approach to soft set based decision making problems under inc...
Rough set was defined by Pawlak in 1982. Concept of soft set was proposed as a mathematical tool to ...
Rough set theory is used in data mining through complex learning systems and uncertain information d...
The belief interval-valued soft set (BIVSS) combines soft set theory and belief interval value (Demp...
In this paper, we present an alternative technique of decision making through parameterization reduc...
Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014Internationa...
Rough set theory provides a methodology for data analysis based on the approximation of information ...
Soft set tackles a single set of attributes whereas its extensionhypersoft set is projected for deal...
In this paper, a decision model based on a fuzzy soft set and ideal solution approaches is proposed....
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
AbstractSoft sets theory, initiated by Molodtsov, is an emerging tool to deal with uncertain problem...
Research on information and communication technologies have been developed rapidly since it can be a...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concep...
The soft set theory is a mathematical tool to represent uncertainty, imprecise, and vagueness is oft...
We put forward a completely redesigned approach to soft set based decision making problems under inc...
Rough set was defined by Pawlak in 1982. Concept of soft set was proposed as a mathematical tool to ...
Rough set theory is used in data mining through complex learning systems and uncertain information d...
The belief interval-valued soft set (BIVSS) combines soft set theory and belief interval value (Demp...