CN- q-ROFS: Connection number-based q-rung orthopair fuzzy set and their application to decision-making process

被引:53
作者
Garg, Harish [1 ]
机构
[1] Deemed Univ, Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India
关键词
CN‐ q‐ ROFS; group decision making; possibility degree measure; connection numbers; AGGREGATION OPERATORS; SIMILARITY MEASURES; MEAN OPERATORS;
D O I
10.1002/int.22406
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 the paper is to introduce a novel concept of connection number-based q-rung orthopair fuzzy set (CN- q-ROFS) and thus to develop a method for solving the multiattribute group decision-making (MAGDM) problem. The q-rung orthopair fuzzy set ( q-ROFS) has outstanding characteristics to deal with the uncertain information, while the connection number resolves with the uncertainties and certainty as a three-degree system, namely identity, contrary, and discrepancy. By combining these two ideas, this paper is divided into three parts. First, the CN- q-ROFS concept is introduced and its features are read. Moreover, some operation laws are defined to combine the different elements of the proposed set. Second, a novel measure of the degree of possibility is presented to measure the degree of possibility within the given objects. Finally, a group decision-making method for solving problems with uncertain information is propagated and illustrated with a series of examples. Finally, a group decision-making method is promoted to solve the problems of uncertain information and illustrates a number of examples. The advantages, comparative as well as superiority analysis of the proposed framework are provided to confirm the approach.
引用
收藏
页码:3106 / 3143
页数:38
相关论文
共 59 条
[1]   INTERVAL VALUED INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, K ;
GARGOV, G .
FUZZY SETS AND SYSTEMS, 1989, 31 (03) :343-349
[2]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[3]   An approach to interval-valued intuitionistic stochastic multi-criteria decision-making using set pair analysis [J].
Cao, Yong-xi ;
Zhou, Huan ;
Wang, Jian-qiang .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (04) :629-640
[4]  
Cui-Ping Wei, 2010, Proceedings of the 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology - Workshops (WI-IAT 2010), P142, DOI 10.1109/WI-IAT.2010.239
[5]   Correlation and correlation coefficient of generalized orthopair fuzzy sets [J].
Du, Wen Sheng .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2019, 34 (04) :564-583
[6]   Minkowski-type distance measures for generalized orthopair fuzzy sets [J].
Du, Wen Sheng .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2018, 33 (04) :802-817
[7]  
Fu S., 2016, J SOFTW ENG, V6, P52
[8]   Information Risk Evaluation and Application: Based on the Set Pair Analysis [J].
Gao, Hongyu .
PROCEEDINGS OF THE FIFTH INTERNATIONAL FORUM ON DECISION SCIENCES, 2018, :285-294
[9]   A novel correlation coefficient of intuitionistic fuzzy sets based on the connection number of set pair analysis and its application [J].
Garg, H. ;
Kumar, K. .
SCIENTIA IRANICA, 2018, 25 (04) :2373-2388
[10]   Multi-attribute group decision-making process based on possibility degree and operators for intuitionistic multiplicative set [J].
Garg, Harish .
COMPLEX & INTELLIGENT SYSTEMS, 2021, 7 (02) :1099-1121