Add to ORKGIn this paper, we present an alternative technique of decision making through parameterization reduction by determining maximal supported sets from a Boolean-valued information system based soft set theory. Based on such reduction, the maximal support will be calculated to determine the optimal choice. It is shown that the technique is identical to normal parameter reduction from previous research on soft set for decision making. While maximal support reduction is in fact has also provided consistency choices in decision making
Existing classification techniques, which are previously proposed for eliminating data inconsistency...
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 proposal testing techniques has been done based on calculating reduction of optimal and sub ...
This paper presents an extended decision making of soft set to multi-valued information systems. By ...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
Nowadays, redundant data is one of the open issues due to the rapid development of technologies. Thi...
The main intention of proposing an alternative technique is to ensure consistency is been upheld bes...
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...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
We introduce a new concept of certainty and coverage of a parameter of the soft set and present a ne...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
[EN]We put forward a completely redesigned approach to soft set based decision making problems under...
Existing classification techniques, which are previously proposed for eliminating data inconsistency...
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 proposal testing techniques has been done based on calculating reduction of optimal and sub ...
This paper presents an extended decision making of soft set to multi-valued information systems. By ...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
Nowadays, redundant data is one of the open issues due to the rapid development of technologies. Thi...
The main intention of proposing an alternative technique is to ensure consistency is been upheld bes...
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...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
We introduce a new concept of certainty and coverage of a parameter of the soft set and present a ne...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
[EN]We put forward a completely redesigned approach to soft set based decision making problems under...
Existing classification techniques, which are previously proposed for eliminating data inconsistency...
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...