Prioritized Aczel–Alsina aggregation operators under p, q-quasirung orthopair fuzzy environment for sustainable supplier selection in new energy vehicle industry

  • Hussain, A., Ullah, K., Moslem, S. & Senapati, T. Decision algorithms for solar panel selection using T-spherical fuzzy Sugeno–Weber triangular norms. Energy Rep. 13, 6651–6668 (2025).

    Google Scholar 

  • Nazir, M., Ali, Z., Hussain, A., Ullah, K. & Saidani, O. Decision based algorithm for circular pythagorean fuzzy framework and advanced petroleum exploration methods. Sci. Rep. 15(1), 19212 (2025).

    Google Scholar 

  • Hussain, A. et al. Enhancing renewable energy evaluation: Utilizing complex picture fuzzy frank aggregation operators in multi-attribute group decision-making. Sustain. Cities Soc. 116, 105842 (2024).

    Google Scholar 

  • Minhaj, M. et al. An intelligent decision support system for selecting optimal AI-powered assistive technology for individuals with disabilities. Int. J. Comput. Intell. Syst. 18(1), 78 (2025).

    Google Scholar 

  • Shafiq, A. et al. MAGDM for evaluating the role of computer science in education with PL q-rof heronian mean operators and maximizing deviation-MOORA methodology. Int. J. Comput. Intell. Syst. 18(1), 208 (2025).

    Google Scholar 

  • Rukhsar, M., Hussain, A., Ullah, K., Moslem, S. & Senapati, T. Intelligent decision analysis for green supplier selection with multiple attributes using circular intuitionistic fuzzy information aggregation and frank triangular norms. Energy Rep. 13, 5773–5791 (2025).

    Google Scholar 

  • Qiu, Y. J., Bouraima, M. B., Badi, I., Stević, Ž & Simic, V. A decision-making model for prioritizing low-carbon policies in climate change mitigation. Challenges Sustain. 12(1), 1–17 (2024).

    Google Scholar 

  • Buchuk, R., Fedorka, P., Klymenko, M., Petrushyn, A. & Saibert, F. The use of adaptive artificial intelligence (AI) learning models in decision support systems for smart regions. J. Res. Innov. Technol. (JoRIT) 4, 99 (2025).

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Wan, S.-P., Li, S.-Q. & Dong, J.-Y. A three-phase method for Pythagorean fuzzy multi-attribute group decision making and application to haze management. Comput. Ind. Eng. 123, 348–363 (2018).

    Google Scholar 

  • Hussain, A., Irfan Ali, M. & Mahmood, T. Covering based q-rung orthopair fuzzy rough set model hybrid with TOPSIS for multi-attribute decision making. J. Intell. Fuzzy Syst. 37(1), 981–993 (2019).

    Google Scholar 

  • Mahmood, T. & Ali, Z. Entropy measure and TOPSIS method based on correlation coefficient using complex q-rung orthopair fuzzy information and its application to multi-attribute decision making. Soft. Comput. 25(2), 1249–1275 (2021).

    Google Scholar 

  • Chen, K. & Luo, Y. Generalized orthopair linguistic Muirhead mean operators and their application in multi-criteria decision making. J. Intell. Fuzzy Syst. 37(1), 797–809 (2019).

    Google Scholar 

  • Wan, S.-P., Jin, Z. & Dong, J.-Y. Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with pythagorean fuzzy truth degrees. Knowl. Inf. Syst. 55(2), 437–466 (2018).

    Google Scholar 

  • Wan, S.-P., Jin, Z. & Dong, J.-Y. A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making. Knowl. Inf. Syst. 62(2), 751–785 (2020).

    Google Scholar 

  • Yager, R. R. Generalized orthopair fuzzy sets. IEEE Trans. Fuzzy Syst. 25(5), 1222–1230 (2016).

    Google Scholar 

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

    Google Scholar 

  • Seikh, M. R. & Mandal, U. Multiple attribute group decision making based on quasirung orthopair fuzzy sets: Application to electric vehicle charging station site selection problem. Eng. Appl. Artif. Intell. 115, 105299 (2022).

    Google Scholar 

  • Rahim, M. et al. Confidence levels-based p, q-quasirung orthopair fuzzy operators and its applications to criteria group decision making problems. IEEE Access 11, 109983–109996 (2023).

    Google Scholar 

  • Ali, J. & Mehmood, Z. p, q-quasirung orthopair fuzzy multi-criteria group decision-making algorithm based on generalized Dombi aggregation operators. J. Appl. Math. Comput. 71(1), 69–102 (2025).

    Google Scholar 

  • Zhao, Z. et al. Quasirung orthopair fuzzy linguistic sets and their application to multi criteria decision making. Sci. Rep. 14(1), 25513 (2024).

    Google Scholar 

  • Aczél, J. & Alsina, C. Characterizations of some classes of quasilinear functions with applications to triangular norms and to synthesizing judgements. Aequationes Math. 25(1), 313–315 (1982).

    Google Scholar 

  • Senapati, T., Chen, G. & Yager, R. R. Aczel–Alsina aggregation operators and their application to intuitionistic fuzzy multiple attribute decision making. Int. J. Intell. Syst. 37(2), 1529–1551 (2022).

    Google Scholar 

  • Senapati, T., Chen, G., Mesiar, R. & Yager, R. R. Novel Aczel–Alsina operations-based interval-valued intuitionistic fuzzy aggregation operators and their applications in multiple attribute decision-making process. Int. J. Intell. Syst. 37(8), 5059–5081 (2022).

    Google Scholar 

  • Senapati, T. Approaches to multi-attribute decision-making based on picture fuzzy Aczel–Alsina average aggregation operators. Comput. Appl. Math. 41(1), 40 (2022).

    Google Scholar 

  • Hussain, A., Ullah, K., Alshahrani, M. N., Yang, M.-S. & Pamucar, D. Novel Aczel–Alsina operators for pythagorean fuzzy sets with application in multi-attribute decision making. Symmetry 14(5), 940 (2022).

    Google Scholar 

  • Hussain, A., Ullah, K., Yang, M.-S. & Pamucar, D. Aczel–Alsina aggregation operators on T-spherical fuzzy (TSF) information with application to TSF multi-attribute decision making. IEEE Access 10, 26011–26023 (2022).

    Google Scholar 

  • Hussain, A., Liu, Y., Ullah, K., Rashid, M., Senapati, T. & Moslem, S. Decision algorithm for picture fuzzy sets and Aczel–Alsina aggregation operators based on unknown degree of wights. Heliyon, 10(6) (2024).

  • Deveci, M. et al. Advantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision making. Appl. Soft Comput. 151, 111136 (2024).

    Google Scholar 

  • Wang, P. et al. Power aggregation operators based on Aczel–Alsina t-norm and t-conorm for intuitionistic hesitant fuzzy information and their application to logistics service provider selection. Artif. Intell. Rev. 58(7), 204 (2025).

    Google Scholar 

  • Meher, B. B. & Jeevaraj, S. Hospital site selection based on two-phase multi-criteria group decision-making method using interval-valued Fermatean fuzzy Aczel-Alsina averaging aggregation operators. Future Bus. J. 11(1), 1–34 (2025).

    Google Scholar 

  • Ren, D., Ma, X., Qin, H., Lei, S. & Niu, X. A multi-criteria decision-making method based on discrete Z-numbers and Aczel–Alsina aggregation operators and its application on early diagnosis of depression. Eng. Appl. Artif. Intell. 139, 109484 (2025).

    Google Scholar 

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

    Google Scholar 

  • Yager, R. R. Prioritized OWA aggregation. Fuzzy Optim. Decis. Mak. 8, 245–262 (2009).

    Google Scholar 

  • Yan, H.-B., Huynh, V.-N., Nakamori, Y. & Murai, T. On prioritized weighted aggregation in multi-criteria decision making. Expert Syst. Appl. 38(1), 812–823 (2011).

    Google Scholar 

  • Ali, J. Spherical fuzzy symmetric point criterion-based approach using Aczel–Alsina prioritization: Application to sustainable supplier selection. Granul. Comput. 9(2), 33 (2024).

    Google Scholar 

  • Ali, J. Probabilistic hesitant bipolar fuzzy Hamacher prioritized aggregation operators and their application in multi-criteria group decision-making. Comput. Appl. Math. 42(6), 260 (2023).

    Google Scholar 

  • Ullah, K., Raza, A., Senapati, T., Moslem, S., et al., Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators. Heliyon, 10(3) (2024).

  • Sarfraz, M. Interval-value pythagorean fuzzy prioritized aggregation operators for selecting an eco-friendly transportation mode selection. Spectr. Eng. Manag. Sci. 2(1), 172–201 (2024).

    Google Scholar 

  • Saqib, M. et al. Benchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework. Appl. Soft Comput. 162, 111780 (2024).

    Google Scholar 

  • Menger, K. Statistical metrics. Proc. Natl. Acad. Sci. USA 28(12), 535 (1942).

    Google Scholar 

  • Klement, E. P., Mesiar, R. & Pap, E. Triangular Norms Vol. 8 (Springer Science & Business Media, Berlin, 2013).

    Google Scholar 

  • Alsina, C., Schweizer, B. & Frank, M. J. Associative Functions: Triangular Norms and Copulas (World Scientific, Singapore, 2006).

    Google Scholar 

  • Ali, J. & Naeem, M. Analysis and application of p, q-quasirung orthopair fuzzy Aczel–Alsina aggregation operators in multiple criteria decision-making. IEEE Access (2023).

  • Farid, H. M. A. & Riaz, M. q-rung orthopair fuzzy Aczel–Alsina aggregation operators with multi-criteria decision-making. Eng. Appl. Artif. Intell. 122, 106105 (2023).

    Google Scholar 

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

    Google Scholar 

  • Senapati, T., Chen, G., Mesiar, R. & Saha, A. Multiple attribute decision making based on Pythagorean fuzzy Aczel–Alsina average aggregation operators. J. Ambient. Intell. Humaniz. Comput. 14(8), 10931–10945 (2023).

    Google Scholar 

  • Chaoui, G., Yaagoubi, R. & Mastere, M. Integrating geospatial technologies and multi-criteria decision analysis for sustainable and resilient urban planning. Challenges Sustain. 13(1), 122–134 (2025).

    Google Scholar 

  • Utomo, B., Soedarto, T., Winarno, S. T. & Hendrarini, H. Predicting the success of coffee farmer partnerships using factor analysis and multiple linear regression. Organic Farm. 11(1), 61–71 (2025).

    Google Scholar 

  • Baidalina, S. et al. Enhancing nutritional value and production efficiency of feeds through biochemical composition optimization. Organic Farm. 10, 80–93 (2024).

    Google Scholar 

  • Continue Reading