Add to ORKGIn this proposal testing techniques has been done based on calculating reduction of optimal and sub optimal parameters for decision making soft set theory. Previous techniques of reduction in decision making for a Boolean-valued information system of standard soft set are described. Hybrid reduction compared to Maji, Chen, and Kong shows best criterion for parameters reductions on the conclusion par
In soft set literatures, issues regarding reduction techniques with regards to dataset in soft set ...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
In this paper we discuss normal parameter reduction of Soft sets and we apply the normal parameter r...
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...
AbstractSoft set theory is a mathematical tool for dealing with uncertain. In this paper, the parame...
Existing classification techniques, which are previously proposed for eliminating data inconsistency...
In each and every field of science and technology Information science plays an important role. Somet...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
The main intention of proposing an alternative technique is to ensure consistency is been upheld bes...
In this paper, we present an alternative technique of decision making through parameterization reduc...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
Many approaches and methods have been proposed and applied in decision analysis process. One of the ...
In soft set literatures, issues regarding reduction techniques with regards to dataset in soft set ...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
In this paper we discuss normal parameter reduction of Soft sets and we apply the normal parameter r...
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...
AbstractSoft set theory is a mathematical tool for dealing with uncertain. In this paper, the parame...
Existing classification techniques, which are previously proposed for eliminating data inconsistency...
In each and every field of science and technology Information science plays an important role. Somet...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
The main intention of proposing an alternative technique is to ensure consistency is been upheld bes...
In this paper, we present an alternative technique of decision making through parameterization reduc...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
Many approaches and methods have been proposed and applied in decision analysis process. One of the ...
In soft set literatures, issues regarding reduction techniques with regards to dataset in soft set ...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
In this paper we discuss normal parameter reduction of Soft sets and we apply the normal parameter r...