On single valued neutrosophic refined rough set model and its application

被引：15

作者：

Bao, Yan-Ling ^{[1
]}

Yang, Hai-Long ^{[1
]}

机构：

[1] Shaanxi Normal Univ, Coll Math & Informat Sci, Xian 710119, Shaanxi, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 33卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Neutrosophic sets; single valued neutrosophic refined sets; rough sets; single valued neutrosophic refined rough sets; multi-attribute decision making; SIMILARITY; ENTROPY;

D O I：

10.3233/JIFS-17094

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neutrosophic set (NS) theory was originally established by Smarandache for handling indeterminate and inconsistent information. In this paper, we introduce single valued neutrosophic refined rough sets by combining single valued neutrosophic refined sets with rough sets and further study the hybrid model from two perspectives-constructive viewpoint and axiomatic viewpoint. We also give single valued neutrosophic refined rough sets on two universes and an available algorithm for handling multi-attribute decision making problem based on single valued neutrosophic refined rough sets on two universes. In addition, we illustrate the validity of the single valued neutrosophic refined rough set model by an example.

引用

页码：1235 / 1248

页数：14

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