In this paper, the parameterization value reduction of soft sets and its algorithm in decision making are studied and described. It is based on parameterization reduction of soft sets. The purpose of this study is to investigate the inherited disadvantages of parameterization reduction of soft sets and its algorithm. The algorithms presented in this study attempt to reduce the value of least parameters from soft set. Through the analysis, two techniques have been described. Through this study, it is found that parameterization reduction of soft sets and its algorithm has yielded a different and inconsistency in suboptimal result
Parameter reduction can be treated as an effective tool in many fields, including pattern recognitio...
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...
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...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
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...
AbstractKong et al. [Kong, Z., Gao, L., Wang, L., and Li, S., The normal parameter reduction of soft...
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...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
Soft set has been introduced to deal with uncertainty involved in many real life problems. However, ...
Parameter reduction can be treated as an effective tool in many fields, including pattern recognitio...
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...
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...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems o...
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...
AbstractKong et al. [Kong, Z., Gao, L., Wang, L., and Li, S., The normal parameter reduction of soft...
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...
The soft set theory is a mathematical tool that deals with uncertainty, imprecise and vagueness in d...
In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the ori...
Several algorithms exist to address the issues concerning parameter reduction of soft sets. The most...
Soft set has been introduced to deal with uncertainty involved in many real life problems. However, ...
Parameter reduction can be treated as an effective tool in many fields, including pattern recognitio...
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...