A novel possibility measure to interval-valued intuitionistic fuzzy set using connection number of set pair analysis and its applications

被引:55
作者
Garg, Harish [1 ]
Kumar, Kamal [1 ]
机构
[1] Deemed Univ, Sch Math, Thapar Inst Engn & Technol, Patiala 147004, Punjab, India
关键词
Interval-valued intuitionistic fuzzy set; Set pair analysis; Connection number; Multi-attribute decision-making; Possibility measures; TOPSIS METHOD; SIMILARITY MEASURES; NORM;
D O I
10.1007/s00521-019-04291-w
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 paper is to give a multi-attribute decision-making (MADM) method for the interval-valued intuitionistic fuzzy (IVIF) set using the set pair analysis (SPA) theory. IVIF set can express the uncertain information in a more valuable manner, while the connection number (CN) based on the "identity," "discrepancy" and "contrary" degrees of the SPA theory handles the uncertainties and certainties systems. Based on these features, in this paper, we develop a new possibility degree measure based on the CNs to rank the different IVIF numbers. The properties and advantages of the measure are described in details. Later on, we present a novel MADM method and illustrate with several examples to validate it. A comparative as well as superiority analysis is performed to show the feasibility and validity of the approach.
引用
收藏
页码:3337 / 3348
页数:12
相关论文
共 53 条
[1]   Prioritized averaging/geometric aggregation operators under the intuitionistic fuzzy soft set environment [J].
Arora, R. ;
Garg, H. .
SCIENTIA IRANICA, 2018, 25 (01) :466-482
[2]   Group decision-making method based on prioritized linguistic intuitionistic fuzzy aggregation operators and its fundamental properties [J].
Arora, Rishu ;
Garg, Harish .
COMPUTATIONAL & APPLIED MATHEMATICS, 2019, 38 (02)
[3]   INTERVAL VALUED INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, K ;
GARGOV, G .
FUZZY SETS AND SYSTEMS, 1989, 31 (03) :343-349
[4]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[5]   An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function [J].
Bai, Zhi-yong .
SCIENTIFIC WORLD JOURNAL, 2013,
[6]   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
[7]  
Chaokai H., 2015, OPEN CYBERN SYST J, V9, P1393, DOI DOI 10.2174/1874110X01509011393
[8]   Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values [J].
Chen, Shyi-Ming ;
Cheng, Shou-Hsiung ;
Lan, Tzu-Chun .
INFORMATION SCIENCES, 2016, 367 :279-295
[9]   Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis [J].
Chen, Ting-Yu .
INFORMATION SCIENCES, 2014, 261 :149-169
[10]  
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