Information Classification, Visualization and Decision-Making: A Neutrosophic Set Theory Based Approach

被引：9

作者：

Singh, Pritpal ^{[1
]}

Rabadiya, Kinjal ^{[1
]}

机构：

[1] CMPICA, CHARUSAT Campus, Anand 388421, Gujarat, India

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2018年

关键词：

Neutrosophic set; rough set; decision-making; neutrosophic set based four-way decision space (NSB4WDS);

D O I：

10.1109/SMC.2018.00079

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In real life, information is incomplete and uncertain. It is very tedious and erroneous to take the precise levels of decision, from such kind of information. To deal with such kind of information, this study proposes a new information classification approach based on the neutrosophic set (NS). This approach of classification is termed, as a neutrosophic set based four way decision space (NSB4WDS). For the better visualization of classified decision rules, this study introduces a new graphical approach for the representation of decision rules.

引用

页码：409 / 414

页数：6

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