Top

Artificial Intelligence Review

Published in:

08-01-2021

A review of q-rung orthopair fuzzy information: bibliometrics and future directions

Authors: Xindong Peng, Zhigang Luo

Published in: Artificial Intelligence Review | Issue 5/2021

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The q-rung orthopair fuzzy set (q-ROFS), initiated by Yager, is a novel tool to dispose of indeterminacy that considers the membership \(\mu\) and non-membership \(\nu\), which satisfy the limited condition \(0\le \mu ^q+\nu ^q\le 1\). It can be employed in characterizing the vague preference more precisely and flexibly than intuitionistic fuzzy set and Pythagorean fuzzy set. q-ROFS has attracted deep concern of numerous researchers, which is mainly distributed in diverse research points such as comparison methods, aggregation operators, decision making methods, calculus, information measure, preference relation, graph and application scenarios. As a result of this growth, we give an overview of q-ROFS for offering a clear perspective on novel trends. A total of 80 q-ROFS related publications of Web of Science are in-depth analysis. Some significant results related to annual trends, country level, institutional level, journal level, highly cited papers, and research landscape are generated and illustrated. Eighteen future research directions or challenges related to the q-ROFS theory are indicated. Finally, the co-authorship analysis, the co-citation analysis, the co-occurrence analysis and the bibliographic coupling analysis are derived by VOSviewer software.

previous article Visual tracking using convolutional features with sparse coding

next article Unbalanced probabilistic linguistic decision-making method for multi-attribute group decision-making problems with heterogeneous relationships and incomplete information

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Ai Z, Xu Z, Yager R, Ye J (2020) q-rung orthopair fuzzy integrals in the frame of continuous Archimedean t-norms and t-conorms and their application. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2020.2965887

Akram M, Habib A, Koam A (2019) A novel description on edge-regular q-rung picture fuzzy graphs with application. Symmetry 11(4):489

Akram M, Luqman A (2020) (Directed) Hypergraphs: q-rung orthopair fuzzy models and beyond. In: Fuzzy hypergraphs and related extensions,pp 235–306. Springer, Singapore

Akram M, Luqman A (2020) Granular computing based on q-rung picture fuzzy hypergraphs. In: Fuzzy hypergraphs and related extensions, pp 307–337. Springer, Singapore

Ali M (2018) Another view on q-rung orthopair fuzzy sets. Int J Intell Syst 33(11):2139–2153

Atanssov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

Bai K, Zhu X, Wang J, Zhang R (2018) Some partitioned Maclaurin symmetric mean based on q-rung orthopair fuzzy information for dealing with multi-attribute group decision making. Symmetry 10(9):383MATH

Bai K, Zhu X, Wang J, Zhang R (2019) Power partitioned Heronian mean operators for q-rung orthopair uncertain linguistic sets with their application to multiattribute group decision making. Int J Intell Syst 35:3–37

Bai K, Zhu X, Zhang R, Gao J (2019) Linguistic reasoning Petri nets using q-rung orthopair fuzzy linguistic sets and weighted ordered weighted averaging operators. IEEE Access 7:103167–103183

Banerjee D, Dutta B, Guha D, Martinez L (2020) SMAA-QUALIFLEX methodology to handle multicriteria decision-making problems based on q-rung fuzzy set with hierarchical structure of criteria using bipolar Choquet integral. Int J Intell Syst 35:401–431

Chen K, Luo Y (2019) Generalized orthopair linguistic Muirhead mean operators and their application in multi-criteria decision making. J Intell Fuzzy Syst 37:797–809

Darko A, Liang D (2020) Some q-rung orthopair fuzzy Hamacher aggregation operators and their application to multiple attribute group decision making with modified EDAS method. Eng Appl Artif Intell 87:103259

Deng X, Cheng X, Gu J, Xu Z (2019) An innovative indicator system and group decision framework for assessing sustainable development enterprises. Group Decis Negot. https://doi.org/10.1007/s10726-019-09647-0

Du W (2018) Minkowski-type distance measures for generalized orthopair fuzzy sets. Int J Intell Syst 33(4):802–817

Du W (2019) Correlation and correlation coefficient of generalized orthopair fuzzy sets. Int J Intell Syst 34(4):564–583

Du W (2019) Research on arithmetic operations over generalized orthopair fuzzy sets. Int J Intell Syst 34(5):709–732

Du W (2019) Weighted power means of q-rung orthopair fuzzy information and their applications in multiattribute decision making. Int J Intell Syst 34(11):2835–2862

Gao H, Ju Y, Zhang W, Ju D (2019) Multi-attribute decision-making method based on interval-valued q-rung orthopair fuzzy Archimedean Muirhead mean operators. IEEE Access 7:74300–74315

Gao J, Liang Z, Shang J, Xu Z (2019) Continuities, derivatives and differentials of q-rung orthopair fuzzy functions. IEEE Trans Fuzzy Syst 27(8):1687–1699

Gao H, Ran L, Wei G, Wei C, Wu J (2020) VIKOR method for MAGDM based on q-rung interval-valued orthopair fuzzy information and its application to supplier selection of medical consumption products. Int J Environ Res Public Health 17(2):525

Gao J, Xu Z (2019) Differential calculus of interval-valued q-rung orthopair fuzzy functions and their applications. Int J Intell Syst 34(12):3190–3219

Gao J, Liang Z, Xu Z (2019) Additive integrals of q-rung orthopair fuzzy functions. IEEE Trans Cybernet. https://doi.org/10.1109/TCYB.2019.2908657

Garg H, Chen S (2019) Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets. Inf Sci 517:427–447MathSciNetMATH

Habib A, Akram M, Farooq A (2019) q-Rung orthopair fuzzy competition graphs with application in the soil ecosystem. Mathematics 7(1):91MathSciNet

Hadi-Vencheh A, Mirjaberi M (2014) Fuzzy inferior ratio method for multiple attribute decision making problems. Inf Sci 277:263–272MathSciNetMATH

Hafezalkotob A, Hafezalkotob A, Liao H, Herrera F (2019) An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion 51:145–177

He Y, He Z, Wang G, Chen H (2014) Hesitant fuzzy power Bonferroni means and their application to multiple attribute decision making. IEEE Trans Fuzzy Syst 23(5):1655–1668

Hussain A, Ali M, Mahmood T (2020) Hesitant q-rung orthopair fuzzy aggregation operators with their applications in multi-criteria decision making. Iran J Fuzzy Syst 17(3):117–134MathSciNetMATH

Hussain A, Ali M, Mahmood T, Munir M (2020) q-Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making. Int J Intell Syst 35(4):571–599

Hussain A, Irfan Ali M, Mahmood T (2019) Covering based q-rung orthopair fuzzy rough set model hybrid with TOPSIS for multi-attribute decision making. J Intell Fuzzy Syst 37:981–993

Jan N, Mahmood T, Zedam L, Ullah K, Alcantud J, Davvaz B (2019) Analysis of social networks, communication networks and shortest path problems in the environment of interval-valued q-rung ortho pair fuzzy graphs. Int J Fuzzy Syst 21(6):1687–1708MathSciNet

Jana C, Muhiuddin G, Pal M (2019) Some Dombi aggregation of Q-rung orthopair fuzzy numbers in multiple-attribute decision making. Int J Intell Syst 34(12):3220–3240

Joshi B, Gegov A (2019) Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems. Int J Intell Syst 35:125–149

Joshi B, Singh A, Bhatt P, Vaisla K (2018) Interval valued q-rung orthopair fuzzy sets and their properties. J Intell Fuzzy Syst 35:5225–5230

Ju Y, Luo C, Ma J, Gao H, Santibanez-Gonzalez E, Wang A (2019) Some interval-valued q-rung orthopair weighted averaging operators and their applications to multiple-attribute decision making. Int J Intell Syst 34(10):2584–2606

Ju Y, Luo C, Ma J, Wang A (2019) A novel multiple-attribute group decision-making method based on q-rung orthopair fuzzy generalized power weighted aggregation operators. Int J Intell Syst 34(9):2077–2103

Ju Y, Wang A, Ma J, Gao H, Gonzalez E (2020) Some q-rung orthopair fuzzy 2-tuple linguistic Muirhead mean aggregation operators and their applications to multiple-attribute group decision making. Int J Intell Syst 35:184–213

Krishankumar R, Ravichandran K, Kar S, Cavallaro F, Zavadskas E, Mardani A (2019) Scientific decision framework for evaluation of renewable energy sources under q-rung orthopair fuzzy set with partially known weight information. Sustainability 11(15):4202

Krishankumar R, Shyam S, Nethra R, Srivatsa S, Ravichandran K (2018, December). Extending borda rule under q-rung orthopair fuzzy set for multi-attribute group decision-making. In: International conference on intelligent systems design and applications, pp 1112–1122. Springer, Cham

Li Z, Wei G, Wang R, Wu J, Wei C, Wei Y (2020) EDAS method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Technol Econ Dev Econ 26(1):86–102

Li H, Yin S, Yang Y (2019) Some preference relations based on q-rung orthopair fuzzy sets. Int J Intell Syst 34(11):2920–2936

Li L, Zhang R, Shang X (2018) Some q-rung orthopair linguistic Heronian mean operators with their application to multi-attribute group decision making. Arch Control Sci 28(4):551–583MathSciNetMATH

Li L, Zhang R, Wang J, Shang X, Bai K (2018) A novel approach to multi-attribute group decision-making with q-rung picture linguistic information. Symmetry 10(5):172

Li N, Zhang R, Xing Y (2019) A novel multi-attribute group decision-making method and its application in solving the downward referral problem in the hierarchical medical treatment system in China. IEEE Access 7:185205–185227

Liang D, Cao W (2019) q-Rung orthopair fuzzy sets-based decision-theoretic rough sets for three-way decisions under group decision making. Int J Intell Syst 34:3139–3167

Liang D, Zhang Y, Cao W (2019) q-Rung orthopair fuzzy Choquet integral aggregation and its application in heterogeneous multicriteria two-sided matching decision making. Int J Intell Syst 34(12):3275–3301

Liao H, Zhang H, Zhang C, Wu X, Mardani A, Al-Barakati A (2020) A q-rung orthopair fuzzy GLDS method for investment evaluation of BE angel capital in China. Technol Econ Dev Econ 26(1):103–134

Lin M, Li X, Chen L (2020) Linguistic q-rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators. Int J Intell Syst 35(2):217–249

Liu P, Ali Z, Mahmood T (2019) A method to multi-attribute group decision-making problem with complex q-rung orthopair linguistic information based on Heronian mean operators. Int J Comput Intell Syst 12(2):1465–1496

Liu L, Cao W, Shi B, Tang M (2019) Large-scale green supplier selection approach under a q-rung interval-valued orthopair fuzzy environment. Processes 7(9):573

Liu D, Chen X, Peng D (2019) Some cosine similarity measures and distance measures between q-rung orthopair fuzzy sets. Int J Intell Syst 34(7):1572–1587

Liu D, Huang A (2020) Consensus reaching process for fuzzy behavioral TOPSIS method with probabilistic linguistic q-rung orthopair fuzzy set based on correlation measure. Int J Intell Syst 35:494–528

Liu P, Li D (2017) Some Muirhead mean operators for intuitionistic fuzzy numbers and their applications to group decision making. PLoS ONE 12(1):e0168767

Liu Z, Li L, Li J (2019) q-Rung orthopair uncertain linguistic partitioned Bonferroni mean operators and its application to multiple attribute decision-making method. Int J Intell Syst 34(10):2490–2520

Liu P, Liu J (2018) Some q-rung orthopai fuzzy Bonferroni mean operators and their application to multi-attribute group decision making. Int J Intell Syst 33(2):315–347

Liu P, Liu W (2019) Multiple-attribute group decision-making based on power Bonferroni operators of linguistic q-rung orthopair fuzzy numbers. Int J Intell Syst 34(4):652–689MathSciNet

Liu P, Liu W (2019) Multiple-attribute group decision-making method of linguistic q-rung orthopair fuzzy power Muirhead mean operators based on entropy weight. Int J Intell Syst 34(8):1755–1794

Liu Z, Liu P, Liang X (2018) Multiple attribute decision-making method for dealing with heterogeneous relationship among attributes and unknown attribute weight information under q-rung orthopair fuzzy environment. Int J Intell Syst 33(9):1900–1928

Liu P, Liu P, Wang P, Zhu B (2019) An extended multiple attribute group decision making method based on q-rung orthopair fuzzy numbers. IEEE Access 7:162050–162061

Liu P, Mahmood T, Ali Z (2020) Complex q-rung orthopair fuzzy aggregation operators and their applications in multi-attribute group decision making. Information 11(1):5

Liu D, Peng D, Liu Z (2019) The distance measures between q-rung orthopair hesitant fuzzy sets and their application in multiple criteria decision making. Int J Intell Syst 34(9):2104–2121

Liu P, Wang P (2018) Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Intell Syst 33(2):259–280

Liu P, Wang P (2019) Multiple-attribute decision-making based on Archimedean Bonferroni operators of q-rung orthopair fuzzy numbers. IEEE Trans Fuzzy Syst 27(5):834–848

Liu P, Wang Y (2020) Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators. Inf Sci 518:181–210MathSciNet

Liu Z, Wang S, Liu P (2018) Multiple attribute group decision making based on q-rung orthopair fuzzy Heronian mean operators. Int J Intell Syst 33(12):2341–2363

Liu Z, Xu H, Yu Y, Li J (2019) Some q-rung orthopair uncertain linguistic aggregation operators and their application to multiple attribute group decision making. Int J Intell Syst 34:2521–2555

Liu P, Chen SM, Wang P (2018) Multiple-attribute group decision-making based on q-rung orthopair fuzzy power maclaurin symmetric mean operators. IEEE Trans Syst Man Cybernet Syst. https://doi.org/10.1109/TSMC.2018.2852948

Liu P, Chen SM, Wang P (2018, March) The g-rung orthopair fuzzy power maclaurin symmetric mean operators. In: 2018 Tenth international conference on advanced computational intelligence, pp 156–161. IEEE

Luca A, Termini S (1972) A definition of a non-probabilistic entropy in the setting of fuzzy sets theory. Inf Control 20(4):301–312MATH

Luqman A, Akram M, Al-Kenani A (2019) q-Rung orthopair fuzzy hypergraphs with applications. Mathematics 7(3):260

Luqman A, Akram M, Al-Kenani A, Alcantud J (2019) A study on hypergraph representations of complex fuzzy information. Symmetry 11(11):1381

Luqman A, Akram M, Davvaz B (2019) q-Rung orthopair fuzzy directed hypergraphs: a new model with applications. J Intell Fuzzy Syst 37:3777–3794

Luqman A, Akram M, Koam A (2019) Granulation of hypernetwork models under the q-rung picture fuzzy environment. Mathematics 7(6):496

Mandal P, Ranadive A (2019) Pythagorean fuzzy preference relations and their applications in group decision-making systems. Int J Intell Syst 34(7):1700–1717

Merigó J, Cancino C, Coronado F, Urbano D (2016) Academic research in innovation: a country analysis. Scientometrics 108(2):559–593

Mi X et al (2019) Hospitality brand management by a score-based q-rung orthopair fuzzy VIKOR method integrated with the best worst method. Econ Res Ekon Istraz 32(1):3266–3295

Peng X, Dai J (2019) Research on the assessment of classroom teaching quality with q-rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance-based assessment. Int J Intell Syst 34(7):1588–1630

Peng X, Dai J, Garg H (2018) Exponential operation and aggregation operator for q-rung orthopair fuzzy set and their decision-making method with a new score function. Int J Intell Syst 33(11):2255–2282

Peng X, Huang H (2020) Fuzzy decision making method based on CoCoSo with CRITIC for financial risk evaluation. Technol Econ Dev Econ 26(4):695–724

Peng X, Krishankumar R, Ravichandran K (2019) Generalized orthopair fuzzy weighted distance-based approximation (WDBA) algorithm in emergency decision-making. Int J Intell Syst 34(10):2364–2402

Peng X, Liu L (2019) Information measures for q-rung orthopair fuzzy sets. Int J Intell Syst 34(8):1795–1834

Peng D, Wang J, Liu D, Liu Z (2019) The similarity measures for linguistic q-rung orthopair fuzzy multi-criteria group decision making using projection method. IEEE Access 7:176732–176745

Qin J, Liu X (2015) Approaches to uncertain linguistic multiple attribute decision making based on dual Maclaurin symmetric mean. J Intelli Fuzzy Syst 29(1):171–186MathSciNetMATH

Qin Y, Qi Q, Scott PJ, Jiang X (2019) Multi-criteria group decision making based on Archimedean power partitioned Muirhead mean operators of q-rung orthopair fuzzy numbers. PLoS ONE 14(9):e0221759

Qin Y, Cui X, Huang M, Zhong Y, Tang Z, Shi P (2019) Archimedean Muirhead aggregation operators of q-rung orthopair fuzzy numbers for multicriteria group decision making. Complexity 2019: https://doi.org/10.1155/2019/3103741

Qin Y, Qi Q, Scott P, Jiang X (2020) Multiple criteria decision making based on weighted Archimedean power partitioned Bonferroni aggregation operators of generalised orthopair membership grades. Soft Comput. https://doi.org/10.1007/s00500-020-04676-3

Shu X, Ai Z, Xu Z, Ye J (2019) Integrations of q-rung orthopair fuzzy continuous information. IEEE Trans Fuzzy Syst 27(10):1974–1985

Sirbiladze G (2020) Associated probabilities’ aggregations in interactive multiattribute decision making for q-rung orthopair fuzzy discrimination environment. Int J Intell Syst 35:335–372

Sirbiladze G, Sikharulidze A, Matsaberidze B, Khutsishvili I, Ghvaberidze B (2019) TOPSIS approach to multi-objective emergency service facility location selection problem under q-rung orthopair fuzzy information. Transactions of A. Razmadze Mathematical Institute 173(3):137–145MathSciNetMATH

Small H (1973) Co-citation in the scientific literature: A new measure of the relationship between two documents. J Am Soc Inf Sci 24(4):265–269

Verma R (2020) Multiple attribute group decision-making based on order-\(\alpha\) divergence and entropy measures under q-rung orthopair fuzzy environment. Int J Intell Syst 35(4):718–750

Wang P (1983) Fuzzy sets and its applications. Shanghai Science and Technology Press, ShanghaiMATH

Wang J, Gao H, Wei G, Wei Y (2019) Methods for multiple-attribute group decision making with q-rung interval-valued orthopair fuzzy information and their applications to the selection of green suppliers. Symmetry 11(1):56MATH

Wang L, Garg H, Li N (2019) Interval-valued q-rung orthopair 2-tuple linguistic aggregation operators and their applications to decision making process. IEEE Access 7:131962–131977

Wang H, Ju Y, Liu P (2019) Multi-attribute group decision-making methods based on q-rung orthopair fuzzy linguistic sets. Int J Intell Syst 34(6):1129–1157

Wang R, Li Y (2018) A novel approach for green supplier selection under a q-rung orthopair fuzzy environment. Symmetry 10(12):687

Wang P, Wang J, Wei G, Wei C (2019) Similarity measures of q-rung orthopair fuzzy sets based on cosine function and their applications. Mathematics 7(4):340

Wang J, Wang P, Wei G, Wei C, Wu J (2019) Some power Heronian mean operators in multiple attribute decision-making based on q-rung orthopair hesitant fuzzy environment. J Exp Theor Artif Intell. https://doi.org/10.1080/0952813X.2019.1694592CrossRef

Wang J, Wei G, Lu J, Alsaadi F, Hayat T, Wei C, Zhang Y (2019) Some q-rung orthopair fuzzy Hamy mean operators in multiple attribute decision-making and their application to enterprise resource planning systems selection. Int J Intell Syst 34(10):2429–2458

Wang J, Wei G, Wang R, Alsaadi F, Hayat T, Wei C, Zhang Y, Wu J (2019) Some q-rung interval-valued orthopair fuzzy Maclaurin symmetric mean operators and their applications to multiple attribute group decision making. Int J Intell Syst 34(11):2769–2806

Wang P, Wei G, Wang J, Lin R, Wei Y (2019) Dual hesitant q-rung orthopair fuzzy Hamacher aggregation operators and their applications in scheme selection of construction project. Symmetry 11(6):771

Wang J, Wei G, Wei C, Wei Y (2019) Dual hesitant q-rung orthopair fuzzy Muirhead mean operators in multiple attribute decision making. IEEE Access 7:67139–67166

Wang J, Wei G, Wei C, Wei Y (2020) MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Def Technol 16(1):208–216

Wang J, Zhang R, Li L, Zhu X, Shang X (2019) A novel approach to multi-attribute group decision making based on q-rung orthopair uncertain linguistic information. J Intelli Fuzzy Syst 36(6):5565–5581

Wang J, Zhang R, Zhu X, Zhou Z, Shang X, Li W (2019) Some q-rung orthopair fuzzy Muirhead means with their application to multi-attribute group decision making. J Intell Fuzzy Syst 36(2):1599–1614

Wang J, Wei G, Wei C, Wu J (2019) Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment. Defence Technology. https://doi.org/10.1016/j.dt.2019.11.007

Wang J, Zhang R, Li L, Shang X, Li W, Xu Y (2018, November). Some q-rung orthopair fuzzy dual Maclaurin symmetric mean operators with their application to multiple criteria decision making. In: International symposium on knowledge and systems sciences, pp 252–266. Springer, Singapore

Wei G, Gao H, Wei Y (2018) Some q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision making. Int J Intell Syst 33(7):1426–1458

Wei G, Wei C, Wang J, Gao H, Wei Y (2019) Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization. Int J Intell Syst 34(1):50–81

Wu S, Wang J, Wei G, Wei Y (2018) Research on construction engineering project risk assessment with some 2-tuple linguistic neutrosophic Hamy mean operators. Sustainability 10(5):1536

Xia M, Xu Z, Zhu B (2013) Geometric Bonferroni means with their application in multi-criteria decision making. Knowl-Based Syst 40:88–100

Xing Y, Zhang R, Wang J, Bai K, Xue J (2020) A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators. Neural Comput Appl 32:7465–7488

Xing Y, Zhang R, Zhou Z, Wang J (2019) Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making. Soft Comput 23(22):11627–11649MATH

Xing Y, Zhang R, Zhu X, Bai K (2019) q-Rung orthopair fuzzy uncertain linguistic choquet integral operators and their application to multi-attribute decision making. J Intelli Fuzzy Syst 37:1123–1139

Xing Y, Zhang R, Sun Y (2018, July) Some new q-rung orthopair fuzzy point-Choquet integral aggregation operators and their application to supplier selection. In: 2018 IEEE 17th international conference on cognitive informatics & cognitive computing, pp. 343–350. IEEE

Xu Z (2007) Intuitionistic preference relations and their application in group decision making. Inf Sci 177(11):2363–2379MathSciNetMATH

Xu Y, Shang X, Wang J, Wu W, Huang H (2018) Some q-rung dual hesitant fuzzy Heronian mean operators with their application to multiple attribute group decision-making. Symmetry 10(10):472

Xu Y, Shang X, Wang J, Zhao H, Zhang R, Bai K (2019) Some interval-valued q-rung dual hesitant fuzzy Muirhead mean operators with their application to multi-attribute decision-making. IEEE Access 7:54724–54745

Xu Z, Yager R (2006) Some geometric aggregation operators based on intuitionistic fuzzy sets. Int J Gen Syst 35(4):417–433MathSciNetMATH

Xu L, Liu Y, Liu H (2019) Some Improved q-rung orthopair fuzzy aggregation operators and their applications to multiattribute group decision-making. Math Probl Eng. https://doi.org/10.1155/2019/2036728

Yager R (2017) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25(5):1222–1230

Yager R, Abbasov A (2013) Pythagorean membership grades, complex numbers, and decision making. Int J Intell Syst 28(5):436–452

Yager R, Alajlan N (2017) Approximate reasoning with generalized orthopair fuzzy sets. Inf Fusion 38:65–73

Yager R, Alajlan N, Bazi Y (2018) Aspects of generalized orthopair fuzzy sets. Int J Intell Syst 33(11):2154–2174

Yang Z, Li X, Cao Z, Li J (2019) Q-rung orthopair normal fuzzy aggregation operators and their application in multi-attribute decision-making. Mathematics 7(12):1142

Yang W, Pang Y (2019) New q-rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making. Int J Intell Syst 34(3):439–476

Yang Z, Xiong G, Cao Z, Li Y, Huang L (2019) A decision method for online purchases considering dynamic information preference based on sentiment orientation classification and discrete DIFWA operators. IEEE Access 7:77008–77026

Ye J, Ai Z, Xu Z (2019) Single variable differential calculus under q-rung orthopair fuzzy environment: limit, derivative, chain rules, and its application. Int J Intell Syst 34(7):1387–1415

Yin S, Li H, Yang Y (2019) Product operations on q-rung orthopair fuzzy graphs. Symmetry 11(4):588

Yu C (1993) Correlation of fuzzy numbers. Fuzzy Sets Syst 55(3):303–307MathSciNetMATH

Yu D (2013) Intuitionistic fuzzy geometric Heronian mean aggregation operators. Appl Soft Comput 13(2):1235–1246

Zadeh L (1965) Fuzzy sets. Inf Control 8(3):338–353MATH

Zhang C, Liao H, Luo L (2019) Additive consistency-based priority-generating method of q-rung orthopair fuzzy preference relation. Int J Intell Syst 34(9):2151–2176

Zhang C, Liao H, Luo L, Xu Z (2020) Multiplicative consistency analysis for q-rung orthopair fuzzy preference relation. Int J Intell Syst 35(1):38–71

Zhang X, Xu Z (2014) Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078

Zhao H, Zhang R, Shang X, Xu Y, Wang J (2019, October). Some q-rung orthopair fuzzy Hamy mean aggregation operators with their application. In: 2019 IEEE international conference on systems, man and cybernetics, pp 1098–1103. IEEE

Zhong Y, Gao H, Guo X, Qin Y, Huang M, Luo X (2019) Dombi power partitioned Heronian mean operators of q-rung orthopair fuzzy numbers for multiple attribute group decision making. PLoS ONE 14(10):e0222007

Zhou L, Chen H, Liu J (2012) Generalized power aggregation operators and their applications in group decision making. Comput Ind Eng 62(4):989–999

Zhuo J (2019) Some properties of q-rung orthopair fuzzy derivatives and indefinite integrals. J Math Inf 16:53–66

Title: A review of q-rung orthopair fuzzy information: bibliometrics and future directions
Authors: Xindong Peng
Zhigang Luo
Publication date: 08-01-2021
Publisher: Springer Netherlands
Published in: Artificial Intelligence Review / Issue 5/2021
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-020-09926-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 5/2021

An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing

Incremental Bayesian broad learning system and its industrial application

A review on fault detection and diagnosis techniques: basics and beyond

Multi-criteria decision making approach based on SVTrN Dombi aggregation functions

Concept learning using one-class classifiers for implicit drift detection in evolving data streams

Applications, databases and open computer vision research from drone videos and images: a survey

Premium Partner