Skip to main content
Log in

Linguistic q-rung orthopair fuzzy Yager prioritized weighted geometric aggregation operator of Linguistic q-rung orthopair fuzzy numbers and its application to multiattribute group decision-making

  • Original Paper
  • Published:
Granular Computing Aims and scope Submit manuscript

Abstract

This paper introduces a novel multiattribute group decision making (MAGDM) method under the linguistic q-rung orthopair fuzzy (Lq-ROF) environment based on the proposed Lq-ROF Yager prioritized weighted arithmetic (Lq-ROFYPWA) aggregation operator (AO) of Lq-ROF numbers (Lq-ROFNs). Firstly, we propose several new operational laws for Lq-ROFNs based on Yager’s t-conorm and t-norm, namely, addition operation (AOp) law, multiplication operation (MOp) law, scalar multiplication operation (SMOp) law, and scalar power operation (SPOp) law. Then, by utilizing the proposed AOp and SMOp of Lq-ROFNs, we propose the Lq-ROFYPWA AO for aggregating the Lq-ROFNs. We additionally illustrate the several characteristics of the proposed Lq-ROFYPWA AO. However, by utilizing the proposed Lq-ROFYPWA AO, we present a novel MAGDM method under the Lq-ROF environment. Finally, we utilize the proposed MAGDM method to solve various numerical MAGDM problems and compare the preference orders (POs) obtained from the proposed MAGDM method with POs obtained from the existing MAGDM methods. The results of the comparative study show that the proposed MAGDM method can successfully solve the limitations of the existing MAGDM methods, where existing MAGDM methods cannot distinguish the POs of alternatives. The proposed MAGDM method offers a valuable method for solving the MAGDM problems in the Lq-ROF environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data availability

The numerical data utilized to support the outcomes of this study are available upon request from the corresponding author.

References

  • Akram M, Bibi R (2023) Multi-criteria group decision-making based on an integrated PROMETHEE approach with 2-tuple linguistic Fermatean fuzzy sets. Granul Comput 8(5):917–941

    Article  Google Scholar 

  • Akram M, Martino A (2023) Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators. Granul Comput 8(1):171–207

    Article  Google Scholar 

  • Akram M, Shahzadi G (2021) A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators. Granul Comput 6(4):763–777

    Article  Google Scholar 

  • Akram M, Naz S, Edalatpanah SA, Mehreen R (2021) Group decision-making framework under linguistic q-rung orthopair fuzzy Einstein models. Soft Comput 25(15):10309–10334

    Article  Google Scholar 

  • Akram M, Khan A, Ahmad U (2023a) Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making. Granul Comput 8(2):311–332

    Article  Google Scholar 

  • Akram M, Niaz Z, Feng F (2023b) Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators. Granul Comput 8(3):441–466

    Article  Google Scholar 

  • Alcantud JCR (2023) Multi-attribute group decision-making based on intuitionistic fuzzy aggregation operators defined by weighted geometric means. Granul Comput 8(6):1857–1866

    Article  Google Scholar 

  • Aldring J, Ajay D (2023) Multicriteria group decision making based on projection measures on complex Pythagorean fuzzy sets. Granul Comput 8(1):137–155

    Article  Google Scholar 

  • Arora R, Garg H (2019) Group decision-making method based on prioritized linguistic intuitionistic fuzzy aggregation operators and its fundamental properties. Comput Appl Math 38(2):36

    Article  MathSciNet  Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    Article  MathSciNet  Google Scholar 

  • Bao H, Shi X (2022) Robot selection using an integrated MAGDM model based on ELECTRE method and linguistic q-rung orthopair fuzzy information. Math Probl Eng. https://doi.org/10.1155/2022/1444486. (Article ID 1444486, 13 pages)

    Article  Google Scholar 

  • Chen SM, Jian WS (2017) Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques. Inf Sci 391:65–79

    Article  Google Scholar 

  • Chen SM, Wang JY (1995) Document retrieval using knowledge-based fuzzy information retrieval techniques. IEEE Trans Syst Man Cybern 25(5):793–803

    Article  Google Scholar 

  • Chen SM, Wang NY (2010) Fuzzy forecasting based on fuzzy-trend logical relationship groups. IEEE Trans Syst Man Cybern Part B (Cybernetics) 40(5):1343–1358

    Article  Google Scholar 

  • Chen SM, Ko YK, Chang YC, Pan JS (2009) Weighted fuzzy interpolative reasoning based on weighted increment transformation and weighted ratio transformation techniques. IEEE Trans Fuzzy Syst 17(6):1412–1427

    Article  Google Scholar 

  • Chen Z, Liu P, Pei Z (2015) An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers. Int J Comput Intell Syst 8(4):747–760

    Article  Google Scholar 

  • Chen SM, Zou XY, Gunawan GC (2019) Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques. Inf Sci 500:127–139

    Article  MathSciNet  Google Scholar 

  • Dhankhar C, Kumar K (2023a) Multi-attribute decision-making based on the advanced possibility degree measure of intuitionistic fuzzy numbers. Granul Comput 8:467–478

    Article  Google Scholar 

  • Dhankhar C, Kumar K (2023b) Multi-attribute decision making based on the q-rung orthopair fuzzy Yager power weighted geometric aggregation operator of q-rung orthopair fuzzy values. Granul Comput 8(5):1013–1025

    Article  Google Scholar 

  • Farman S, Khan FM, Bibi N (2024) T-Spherical fuzzy soft rough aggregation operators and their applications in multi-criteria group decision-making. Granul Comput 9:6. https://doi.org/10.1007/s41066-023-00437-3

    Article  Google Scholar 

  • Garg H, Chen SM (2020) Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets. Inf Sci 517:427–447

    Article  MathSciNet  Google Scholar 

  • Garg H, Olgun M, Ünver M, Türkarslan E (2023) An extension of CODAS method for multi-criteria group decision making with complex intuitionistic fuzzy information via Dombi sine weighted arithmetic aggregation operators. Granul Comput 8(6):1467–1480

    Article  Google Scholar 

  • Herrera F, Martínez L (2001) A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. IEEE Trans Syst Man Cybern Part B (Cybernetics) 31(2):227–234

    Article  CAS  Google Scholar 

  • Horng YJ, Chen SM, Chang YC, Lee CH (2005) A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques. IEEE Trans Fuzzy Syst 13(2):216–228

    Article  Google Scholar 

  • Kumar K, Chen SM (2022) Multiple attribute group decision making based on advanced linguistic intuitionistic fuzzy weighted averaging aggregation operator of linguistic intuitionistic fuzzy numbers. Inf Sci 587:813–824

    Article  Google Scholar 

  • Kumar K, Chen SM (2023a) Group decision making based on linguistic intuitionistic fuzzy Yager weighted arithmetic aggregation operator of linguistic intuitionistic fuzzy numbers. Inf Sci 647(119):228

    Google Scholar 

  • Kumar K, Chen SM (2023b) Multiattribute decision making based on q-rung orthopair fuzzy Yager prioritized weighted arithmetic aggregation operator of q-rung orthopair fuzzy numbers. Inf Sci 657(119):984

    Google Scholar 

  • Kumar R, Kumar S (2023) A novel intuitionistic fuzzy similarity measure with applications in decision-making, pattern recognition, and clustering problems. Granul Comput 8(5):1027–1050

    Article  Google Scholar 

  • 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):652–689

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Liu P, Chen SM, Wang Y (2020) Multiattribute group decision making based on intuitionistic fuzzy partitioned Maclaurin symmetric mean operators. Inf Sci 512:830–854

    Article  MathSciNet  Google Scholar 

  • Liu P, Naz S, Akram M, Muzammal M (2022) Group decision-making analysis based on linguistic q-rung orthopair fuzzy generalized point weighted aggregation operators. Int J Mach Learn Cybern 13(4):883–906

    Article  Google Scholar 

  • Malik R, Bhardwaj R, Kumar K (2024) Multiattribute group decision making based on Aczel-Alsina linguistic intuitionistic fuzzy weighted averaging operator of linguistic intuitionistic fuzzy environment. Granul Comput 9(1):10. https://doi.org/10.1007/s41066-023-00431-9

    Article  Google Scholar 

  • Muneeza Ihsan A, Abdullah S (2023) Multicriteria group decision making for COVID-19 testing facility based on picture cubic fuzzy aggregation information. Granul Comput 8(4):771–792

    Article  Google Scholar 

  • Neelam, Kumar K, Bhardwaj R (2023a) Entropy measure for the linguistic q-rung orthopair fuzzy set. In: Soft computing: theories and applications: Proceedings of SoCTA 2022, Lecture Notes in Networks and Systems, vol 627, Springer, pp 161–171 https://doi.org/10.1007/978-981-19-9858-4_14

  • Neelam, Malik R, Kumar K, Bhardwaj R (2023b) A ranking method for the linguistic q-rung orthopair fuzzy set based on the possibility degree measure. In: International Conference on computer vision and robotics (CVR 2023), algorithms for intelligent systems, Springer, pp 309–319 https://doi.org/10.1007/978-981-99-4577-1_25

  • Noor Q, Rashid T, Beg I (2023) Multi-attribute group decision-making based on probabilistic dual hesitant fuzzy Maclaurin symmetric mean operators. Granul Comput 8(3):633–666

    Article  Google Scholar 

  • Pathak R, Soni B, Muppalaneni NB, Mishra AR (2024) Multi-criteria group decision-making method based on Einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets. Granul Comput 9(1):14

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Rahim M (2023) Multi-criteria group decision-making based on Frank aggregation operators under Pythagorean cubic fuzzy sets. Granul Comput 8(6):1429–1449

    Article  Google Scholar 

  • Rahman K (2023) Multiple attribute group decision-making based on generalized interval-valued Pythagorean fuzzy Einstein geometric aggregation operators. Granul Comput 8(2):293–310

    Article  Google Scholar 

  • Salsabeela V, Athira TM, John SJ, Baiju T (2023) Multiple criteria group decision making based on q-rung orthopair fuzzy soft sets. Granul Comput 8(5):1067–1080

    Article  Google Scholar 

  • Savita Kumar N, Siwch A (2024) Fuzzy clustering based on distance metric under intuitionistic fuzzy environment. Granul Comput. https://doi.org/10.1007/s41066-023-00446-2

    Article  Google Scholar 

  • Xu Z (2004) A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Inf Sci 166(1–4):19–30

    Article  MathSciNet  Google Scholar 

  • Yager RR (1994) Aggregation operators and fuzzy systems modeling. Fuzzy Sets Syst 67(2):129–145

    Article  MathSciNet  Google Scholar 

  • Yager RR (2008) Prioritized aggregation operators. Int J Approx Reason 48(1):263–274

    Article  MathSciNet  Google Scholar 

  • Yager RR (2013) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8(3):199–249

    Article  MathSciNet  Google Scholar 

  • Zhang Z, Chen SM (2021) Group decision making based on multiplicative consistency-and-consensus preference analysis for incomplete q-rung orthopair fuzzy preference relations. Inf Sci 574:653–673

    Article  MathSciNet  Google Scholar 

Download references

Funding

Authors have no funding.

Author information

Authors and Affiliations

Authors

Contributions

Each author has equal contribution.

Corresponding author

Correspondence to Kamal Kumar.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Neelam, Bhardwaj, R., Arora, R. et al. Linguistic q-rung orthopair fuzzy Yager prioritized weighted geometric aggregation operator of Linguistic q-rung orthopair fuzzy numbers and its application to multiattribute group decision-making. Granul. Comput. 9, 38 (2024). https://doi.org/10.1007/s41066-024-00460-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41066-024-00460-y

Keywords

Navigation