In each and every field of science and technology Information science plays an important role. Sometimes information science is facing different types of problems to handle the data and information. Data Uncertainty is one of the challenging difficulties to handle. In past, there are several theories like fuzzy set, Rough set, Probability etc.to dealing with uncertainty. Soft set theory is the youngest theory to deal with uncertainty. In this paper we discussed how to find reducts. This paper focuses on how we can transform a sample data set to binary valued information system. We are also going to reduce the dimension of data set by using the binary valued information that results a better decision
In this paper, we propose soft decision making methods based on fuzzy and soft set theory. We also u...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
We put forward a completely redesigned approach to soft set based decision making problems under inc...
In each and every field of science and technology Information science plays an important role. Somet...
AbstractSoft set theory is a mathematical tool for dealing with uncertain. In this paper, the parame...
In this proposal testing techniques has been done based on calculating reduction of optimal and sub ...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
In this paper, the parameterization value reduction of soft sets and its algorithm in decision makin...
In this paper, the parameterization value reduction of soft sets and its algorithm in decision makin...
In this paper, we present an alternative technique of decision making through parameterization reduc...
In soft set literatures, issues regarding reduction techniques with regards to dataset in soft set ...
Many approaches and methods have been proposed and applied in decision analysis process. One of the ...
There has been a rapid growth of interest in developing approaches that are capable of dealing with ...
AbstractThe theory of soft set proposed by Molodtsovin 1999[1]is a new method for handling uncertain...
In this paper, we propose soft decision making methods based on fuzzy and soft set theory. We also u...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
We put forward a completely redesigned approach to soft set based decision making problems under inc...
In each and every field of science and technology Information science plays an important role. Somet...
AbstractSoft set theory is a mathematical tool for dealing with uncertain. In this paper, the parame...
In this proposal testing techniques has been done based on calculating reduction of optimal and sub ...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
In this paper, the parameterization value reduction of soft sets and its algorithm in decision makin...
In this paper, the parameterization value reduction of soft sets and its algorithm in decision makin...
In this paper, we present an alternative technique of decision making through parameterization reduc...
In soft set literatures, issues regarding reduction techniques with regards to dataset in soft set ...
Many approaches and methods have been proposed and applied in decision analysis process. One of the ...
There has been a rapid growth of interest in developing approaches that are capable of dealing with ...
AbstractThe theory of soft set proposed by Molodtsovin 1999[1]is a new method for handling uncertain...
In this paper, we propose soft decision making methods based on fuzzy and soft set theory. We also u...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
We put forward a completely redesigned approach to soft set based decision making problems under inc...