Possibility belief interval-valued soft set and its application in decision making

被引:2
作者
Fu, Wenqing [1 ]
Khalil, Ahmed Mostafa [2 ]
Zahran, Ahmed Mohamed [2 ]
Basheer, Rehab [3 ]
机构
[1] Xian Technol Univ, Sch Sci, Xian, Peoples R China
[2] Al Azhar Univ, Fac Sci, Dept Math, Assiut 71524, Egypt
[3] Assiut Univ, Fac Sci, Dept Math, Assiut, Egypt
关键词
Interval-valued fuzzy set; belief interval-valued soft set; possibility belief interval-valued soft set; decision-making; EVIDENTIAL REASONING APPROACH; PREDICTION; ENTROPY;
D O I
10.3233/JIFS-201621
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this article is to present the concept of restricted union and extended intersection of belief interval-valued soft sets, along with its properties. In addition, we propose the concept of possibility belief interval-valued soft set theory and investigate their properties. For suitability of possible applications, there are seven kinds of operations (e.g., union, intersection, restricted union, extended intersection, complement, soft max-AND, and soft min-OR) on the possibility belief interval-valued soft sets are defined and their basic theoretical are given. Then, we construct two algorithms by using soft max-AND and soft min-OR operations of possibility interval-valued soft sets for fuzzy decision-making problem. Lastly, we introduce an algorithm using a possibility interval-valued soft set to solve the decision-making problems and clarify its applicability by a numerical example.
引用
收藏
页码:231 / 249
页数:19
相关论文
共 36 条
[1]  
Alkhazaleh S., 2011, ADV DECIS SCI, V2011, P1
[2]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[3]  
Çagman N, 2011, IRAN J FUZZY SYST, V8, P137
[4]   A generalized belief interval-valued soft set with applications in decision making [J].
Cheng, Cuiping ;
Cao, Zehong ;
Xiao, Fuyuan .
SOFT COMPUTING, 2020, 24 (13) :9339-9350
[5]   Interval-valued neutrosophic soft sets and its decision making [J].
Deli, Irfan .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (02) :665-676
[6]   A METHOD OF INFERENCE IN APPROXIMATE REASONING BASED ON INTERVAL-VALUED FUZZY-SETS [J].
GORZALCZANY, MB .
FUZZY SETS AND SYSTEMS, 1987, 21 (01) :1-17
[7]   Fuzzy Soft Expert System in Prediction of Coronary Artery Disease [J].
Hassan, Nasruddin ;
Sayed, Osama Rashed ;
Khalil, Ahmed Mostafa ;
Ghany, Mohamed Abdel .
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (05) :1546-1559
[8]   An evidential dynamical model to predict the interference effect of categorization on decision making results [J].
He, Zichang ;
Jiang, Wen .
KNOWLEDGE-BASED SYSTEMS, 2018, 150 :139-149
[9]   Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian Networks [J].
Huang, Zhiming ;
Yang, Lin ;
Jiang, Wen .
APPLIED MATHEMATICS AND COMPUTATION, 2019, 347 (417-428) :417-428
[10]   Possibility Pythagorean fuzzy soft set and its application [J].
Jia-hua, Duojie ;
Zhang, Haidong ;
He, Yanping .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (01) :413-421