Add to ORKGA new efficient normal parameter reduction algorithm of soft set in decision making was proposed. However, up to the present, few documents have focused on real-life applications of this algorithm. Accordingly, we apply a New Efficient Normal Parameter Reduction algorithm into real-life datasets of online shopping, such as Blackberry Mobile Phone Dataset. Experimental results show that this algorithm is not only suitable but feasible for dealing with the online shopping
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...
软集理论是一种新的处理不确定性问题的数学工具.讨论了软集与信息系统之间的关系,介绍了由软集诱导的二元关系,借助信息系统的属性约简来研究软集的参数约简,得到了软集参数约简的新方法,并通过算例验证了方法的...
A new efficient normal parameter reduction algorithm of soft set in decision making was proposed. Ho...
In this paper we discuss normal parameter reduction of Soft sets and we apply the normal parameter r...
In this paper we discuss normal parameter reduction of Soft sets and weapply the normalparameter red...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
AbstractKong et al. [Kong, Z., Gao, L., Wang, L., and Li, S., The normal parameter reduction of soft...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
Soft set has been introduced to deal with uncertainty involved in many real life problems. However, ...
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, 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...
软集理论是一种新的处理不确定性问题的数学工具.讨论了软集与信息系统之间的关系,介绍了由软集诱导的二元关系,借助信息系统的属性约简来研究软集的参数约简,得到了软集参数约简的新方法,并通过算例验证了方法的...
A new efficient normal parameter reduction algorithm of soft set in decision making was proposed. Ho...
In this paper we discuss normal parameter reduction of Soft sets and we apply the normal parameter r...
In this paper we discuss normal parameter reduction of Soft sets and weapply the normalparameter red...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
AbstractKong et al. [Kong, Z., Gao, L., Wang, L., and Li, S., The normal parameter reduction of soft...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
AbstractThis paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the pr...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
Soft set has been introduced to deal with uncertainty involved in many real life problems. However, ...
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, 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...
软集理论是一种新的处理不确定性问题的数学工具.讨论了软集与信息系统之间的关系,介绍了由软集诱导的二元关系,借助信息系统的属性约简来研究软集的参数约简,得到了软集参数约简的新方法,并通过算例验证了方法的...