Generalised multi-fuzzy bipolar soft sets and its application in decision making

被引：7

作者：

Khan, Asghar ^{[1
]}

Izhar, Muhammad ^{[1
]}

Khalaf, Mohammad M. ^{[2
]}

机构：

[1] Abdul Wali Khan Univ, Dept Math, Mardan, KP, Pakistan

[2] High Inst Engn & Technol King Marioutt, POB 3135, Alexandria, Egypt

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 37卷 / 02期

关键词：

Soft set; bipolar soft set; fuzzy soft set; multi-fuzzy set; generalised multi-fuzzy bipolar soft set; THEORETIC APPROACH; REDUCTION;

D O I：

10.3233/JIFS-182928

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainty. In this work, new soft model, called the generalised multi-fuzzy bipolar soft model is proposed, and an algorithm based on this notion is presented. Some basic properties of this concept are studied and the related results are investigated. Finally, an application based on generalised multi-fuzzy soft sets in decision making is analyzed.

引用

页码：2713 / 2725

页数：13

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