A decision making approach based on multi-fuzzy bipolar soft sets

被引：8

作者：

Khan, Asghar ^{[1
]}

Hussain, Fawad ^{[3
]}

Hadi, Asmat ^{[1
]}

Khan, Sajjad Ahmad ^{[2
]}

机构：

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

[2] Islamia Coll, Dept Stat, Peshawar, KP, Pakistan

[3] Abbottabad Univ Sci & Technol, Dept Math, Abbottabad, KP, Pakistan

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

D O I：

10.3233/JIFS-179250

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 vagueness and uncertainties. It is worth noting that the decision making theory has been proven a more effective tool in the real-world problems under imprecise environments. In this paper, we introduce a new fuzzy soft model, called the multi-fuzzy bipolar soft set model. Some operations of this notion are first investigated and some of the related properties are studied. Finally, an algorithm based on multi-fuzzy bipolar soft set is presented and an illustrative example is given to analyze the application of the proposed algorithm.

引用

页码：1879 / 1892

页数：14

共 26 条

[1] Soft sets and soft groups [J].