An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

Akram M, Martino A (2023) Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators. Granular Comput 8(1):171–207. https://doi.org/10.1007/s41066-022-00319-0 Akram M, Kahraman C, Zahid K (2021) Group decision-making based on complex spherical fuzzy VIKOR approach. Knowl-Based Syst. https://doi.org/10.1016/j.knosys.2021.106793 Albahri ASS, Zaidan AAA, AlSattar HAAA, Hamid RA, Albahri OSS, Qahtan S, Alamoodi AHH (2022) Towards physician’s experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T-spherical fuzzy-weighted zero-inconsistency method. Comput Intell. https://doi.org/10.1111/coin.12562 Almulhim T, Barahona I (2023) An extended picture fuzzy multicriteria group decision analysis with different weights: a case study of COVID-19 vaccine allocation. Soc-Econ Plan Sci. https://doi.org/10.1016/j.seps.2022.101435 Arora R, Garg H (2019) Group decision-making method based on prioritized linguistic intuitionistic fuzzy aggregation operators and its fundamental properties. Comput Appl Math. https://doi.org/10.1007/s40314-019-0764-1 Ashraf S, Abdullah S (2019) Spherical aggregation operators and their application in multiattribute group decision-making. Int J Intell Syst 34(3):493–523. https://doi.org/10.1002/int.22062 Ashraf S, Abdullah S (2020) Emergency decision support modeling for COVID-19 based on spherical fuzzy information. Int J Intell Syst 35(11):1601–1645. https://doi.org/10.1002/int.22262 Ashraf S, Abdullah S, Mahmood T, Ghani F, Mahmood T (2019) Spherical fuzzy sets and their applications in multi-attribute decision making problems J. Intell Fuzzy Syst 36(3):2829–2844. https://doi.org/10.3233/jifs-172009 Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96. https://doi.org/10.1016/S0165-0114(86)80034-3 Barukab O, Abdullah S, Ashraf S, Arif M, Khan SA (2019) A new approach to fuzzy TOPSIS method based on entropy measure under spherical fuzzy information. Entropy. https://doi.org/10.3390/e21121231 Bonab SR, Ghoushchi SJ, Deveci M, Haseli G (2023) Logistic autonomous vehicles assessment using decision support model under spherical fuzzy set integrated choquet integral approach. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2022.119205 Chen Q-Y, Liu H-C, Wang J-H, Shi H (2022) New model for occupational health and safety risk assessment based on Fermatean fuzzy linguistic sets and CoCoSo approach. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2022.109262 Cuong BC (2014) Picture fuzzy sets. J Comput Sci Cybern 30:409–420 Deveci M, Pamucar D, Cali U, Kantar E, Kolle K, Tande JO (2022) Hybrid q-rung orthopair fuzzy sets based cocoso model for floating offshore wind farm site selection in Norway. Csee J Power Energy Syst 8(5):1261–1280. https://doi.org/10.17775/cseejpes.2021.07700 Ecer F, Pamucar D (2020) Sustainable supplier selection: a novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model. J Clean Prod. https://doi.org/10.1016/j.jclepro.2020.121981 Garg H (2016) Generalized intuitionistic fuzzy interactive geometric interaction operators using Einstein t-norm and t-conorm and their application to decision making. Comput Ind Eng 101:53–69. https://doi.org/10.1016/j.cie.2016.08.017 Garg H, Rani D (2021) An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques. Appl Intell 52(4):4330–4363. https://doi.org/10.1007/s10489-021-02541-w Gul S (2021) Extending ARAS with integration of objective attribute weighting under spherical fuzzy environment. Int J Inf Technol Decis Mak 20(03):1011–1036. https://doi.org/10.1142/s0219622021500267 Gul M, Ak MF (2021) A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility. Soft Comput 25(8):6157–6178. https://doi.org/10.1007/s00500-021-05605-8 Gundogdu FK, Kahraman C (2019a) Extension of WASPAS with spherical fuzzy sets. Informatica 30(2):269–292. https://doi.org/10.15388/Informatica.2019.206 Gundogdu FK, Kahraman C (2019b) A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. J Intell Fuzzy Syst 37(1):1197–1211. https://doi.org/10.3233/jifs-182651 Haktanir E, Kahraman C (2022) A novel picture fuzzy CRITIC & REGIME methodology: Wearable health technology application. Eng Appl Artif Intel. https://doi.org/10.1016/j.engappai.2022.104942 Jana C, Senapati T, Pal M, Yager RR (2019) Picture fuzzy Dombi aggregation operators: application to MADM process. Appl Soft Comput 74:99–109. https://doi.org/10.1016/j.asoc.2018.10.021 Joshi R, Kumar S (2022) A novel VIKOR approach based on weighted correlation coefficients and picture fuzzy information for multicriteria decision making. Granular Comput 7(2):323–336. https://doi.org/10.1007/s41066-021-00267-1 Kadian R, Kumar S (2022) A new picture fuzzy divergence measure based on Jensen-Tsallis information measure and its application to multicriteria decision making. Granular Comput 7(1):113–126. https://doi.org/10.1007/s41066-021-00254-6 Keshavarz-Ghorabaee M, Amiri M, Zavadskas EK, Turskis Z, Antucheviciene J (2021) Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry-Basel. https://doi.org/10.3390/sym13040525 Khan A, Jan AU, Amin F, Zeb A (2022) Multiple attribute decision-making based on cubical fuzzy aggregation operators. Granular Comput 7(2):393–410. https://doi.org/10.1007/s41066-021-00273-3 Lai H, Liao H, Long Y, Zavadskas EK (2022) A hesitant Fermatean fuzzy CoCoSo method for group decision-making and an application to blockchain platform evaluation. Int J Fuzzy Syst 24(6):2643–2661. https://doi.org/10.1007/s40815-022-01319-7 Lin M, Huang C, Xu Z (2020) MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2019.101873 Mahmood T, Ullah K, Khan Q, Jan N (2019) An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Comput Appl 31(11):7041–7053. https://doi.org/10.1007/s00521-018-3521-2 Muneeza IA, Abdullah S (2022) Multicriteria group decision making for COVID-19 testing facility based on picture cubic fuzzy aggregation information. Granular Comput. https://doi.org/10.1007/s41066-022-00350-1 Omerali M, Kayo T (2022) Augmented reality application selection framework using spherical fuzzy COPRAS multi criteria decision making. Cogent Eng. https://doi.org/10.1080/23311916.2021.2020610 Pamucar D, Gorcun OF (2022) Evaluation of the European container ports using a new hybrid fuzzy LBWA-CoCoSo’B techniques. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2022.117463 Panpatil SS, Prajapati H, Kant R (2022) Analysing a GSCM enabler-based model for implementation of its practices: a pythagorean fuzzy AHP and CoCoSo approach. Proc Integr Optim Sustain. https://doi.org/10.1007/s41660-022-00289-5 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. https://doi.org/10.3846/tede.2020.11920 Qin Y, Qi Q, Shi P, Scott PJ, Jiang X (2020) Novel operational laws and power Muirhead mean operators of picture fuzzy values in the framework of Dempster-Shafer theory for multiple criteria decision making. Comput Indust Eng. https://doi.org/10.1016/j.cie.2020.106853 Qin Y, Cui X, Huang M, Zhong Y, Tang Z, Shi P (2021) Multiple-attribute decision-making based on picture fuzzy Archimedean power Maclaurin symmetric mean operators. Granular Comput 6(3):737–761. https://doi.org/10.1007/s41066-020-00228-0 Qiyas M, Abdullah S, Khan S, Naeem M (2022) Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators. Granular Comput 7(1):141–162. https://doi.org/10.1007/s41066-021-00256-4 Rong Y, Liu Y, Pei Z (2020a) Complex q-rung orthopair fuzzy 2-tuple linguistic Maclaurin symmetric mean operators and its application to emergency program selection. Int J Intell Syst 35(11):1749–1790. https://doi.org/10.1002/int.22271 Rong Y, Pei Z, Liu Y (2020b) Hesitant fuzzy linguistic hamy mean aggregation operators and their application to linguistic multiple attribute decision-making. Math Probl Eng. https://doi.org/10.1155/2020/3262618 Rong Y, Liu Y, Pei Z (2021) Interval-valued intuitionistic fuzzy generalised Bonferroni mean operators for multi-attribute decision making. Int J Fuzzy Syst 23(6):1728–1754. https://doi.org/10.1007/s40815-021-01064-3 Rong Y, Liu Y, Pei Z (2022) A novel multiple attribute decision-making approach for evaluation of emergency management schemes under picture fuzzy environment. Int J Mach Learn Cybern 13(3):633–661. https://doi.org/10.1007/s13042-021-01280-1 Saad M, Rafiq A (2022) Correlation coefficients for T-spherical fuzzy sets and their applications in pattern analysis and multi-attribute decision-making. Granular Comput. https://doi.org/10.1007/s41066-022-00355-w Senapati T, Simic V, Saha A, Dobrodolac M, Rong Y, Tirkolaee EB (2023) Intuitionistic fuzzy power Aczel-Alsina model for prioritization of sustainable transportation sharing practices. Eng Appl Artif Intel. https://doi.org/10.1016/j.engappai.2022.105716 Seyfi-Shishavan SA, Gundogdu FK, Donyatalab Y, Farrokhizadeh E, Kahraman C (2021) A novel spherical fuzzy bi-objective linear assignment method and its application to insurance options selection. Int J Inf Technol Decis Mak 20(02):521–551. https://doi.org/10.1142/s0219622021500073 Wang H, Mahmood T, Ullah K (2023a) Improved CoCoSo method based on frank softmax aggregation operators for T-spherical fuzzy multiple attribute group decision-making. Int J Fuzzy Syst. https://doi.org/10.1007/s40815-022-01442-5 Wang W, Wang Y, Fan S, Han X, Wu Q, Pamucar D (2023b) A complex spherical fuzzy CRADIS method based fine-kinney framework for occupational risk evaluation in natural gas pipeline construction. J Petrol Sci Eng. https://doi.org/10.1016/j.petrol.2022.111246 Wei D, Meng D, Rong Y, Liu Y, Garg H, Pamucar D (2022) Fermatean fuzzy Schweizer-sklar operators and bwm-entropy-based combined compromise solution approach: an application to green supplier selection. Entropy. https://doi.org/10.3390/e24060776 Xia M, Xu Z, Zhu B (2012) Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm. Knowl-Based Syst 31:78–88. https://doi.org/10.1016/j.knosys.2012.02.004 Yazdani M, Zarate P, Zavadskas EK, Turskis Z (2019) A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Manag Decis 57(9):2501–2519. https://doi.org/10.1108/md-05-2017-0458 Yuan G, Xie F, Dincer H, Yuksel S (2021) The theory of inventive problem solving (TRIZ)-based strategic mapping of green nuclear energy investments with spherical fuzzy group decision-making approach. Int J Energy Res 45(8):12284–12300. https://doi.org/10.1002/er.6435 Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X Zhang H, Wei G (2023) Location selection of electric vehicles charging stations by using the spherical fuzzy CPT-CoCoSo and D-CRITIC method. Comput Appl Math. https://doi.org/10.1007/s40314-022-02183-9 Zhang X-Y, Wang J, Wang J-Q, Hu J-H (2020) A revised picture fuzzy linguistic aggregation operator and its application to group decision-making. Cogn Comput 12(5):1070–1082. https://doi.org/10.1007/s12559-020-09728-2 Zhu Y, Zeng S, Lin Z, Ullah K (2023) Comprehensive evaluation and spatial-temporal differences analysis of China’s inter-provincial doing business environment based on Entropy-CoCoSo method. Front Environ Sci. https://doi.org/10.3389/fenvs.2022.1088064