Abstract
As an extension of interval-valued intuitionistic fuzzy sets, the concept of interval-valued q-rung orthopair fuzzy (IVq-ROF) sets (IVq-ROFSs) represents an efficient tool for handling uncertain information in a more expansive context, owing to its utilization of the adjustable parameter \(\textit{q}\ge 1\). In the present article, we devise Aczel–Alsina (AA) operations to IVq-ROF numbers, employing the AA t-norm and t-conorm, and subsequently establish their inherent properties. Based on these operations, we originate a series of aggregation operators, including IVq-ROF AA weighted averaging (IVq-ROFAAWA) operator, IVq-ROF AA ordered weighted averaging (IVq-ROFAAOWA) operator, IVq-ROF AA hybrid averaging (IVq-ROFAAHA) operator, IVq-ROF AA weighted geometric (IVq-ROFAAWG) operator, IVq-ROF AA ordered weighted geometric (IVq-ROFAAOWG) operator, and IVq-ROF AA hybrid geometric (IVq-ROFAAHG) operator. Some required properties of the formulated operators are verified, and their interrelatedness is shown exhaustively. Meanwhile, we formulate the IVq-ROF weighted Bonferroni mean (IVq-ROFWBM) operator by leveraging AA operations, considering that the Bonferroni mean operator can capture the interrelationships among the input arguments. Based on these operators, a decision-making approach is framed for ranking the alternatives in the IVq-ROF environment. Further, we present an illustrative example concerning the distortion of the 2022 monsoon flood to showcase its practical applicability and to examine how various parameters impact the outcomes. Finally, the merits and originality of the presented methodology are underscored through a comprehensive comparison with prevailing approaches.
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References
Abbas F, Ali J, Mashwani WK, Syam MI (2023) q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis. Sci Rep 13(1):2789
Aczél J, Alsina C (1982) Characterizations of some classes of quasilinear functions with applications to triangular norms and to synthesizing judgements. Aequ Math 25(1):313–315
Akram M, Sitara M (2022) Decision-making with q-rung orthopair fuzzy graph structures. Granul Comput 7(3):505–526
Akram M, Bashir A, Edalatpanah S (2021) A hybrid decision-making analysis under complex q-rung picture fuzzy Einstein averaging operators. Comput Appl Math 40:305
Akram M, Shahzadi G, Alcantud JCR (2022) Multi-attribute decision-making with q-rung picture fuzzy information. Granul Comput 7:197–215
Ali J (2023) Norm-based distance measure of q-rung orthopair fuzzy sets and its application in decision-making. Comput Appl Math 42(4):184
Ali J, Naeem M (2023) Multi-criteria decision-making method based on complex t-spherical fuzzy Aczel-Alsina aggregation operators and their application. Symmetry 15(1):85
Alsina C, Schweizer B, Frank MJ (2006) Associative functions: triangular norms and copulas. World Scientific, Singapore
Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
Atanassov KT (1999) Interval valued intuitionistic fuzzy sets, in intuitionistic fuzzy sets. Springer, Berlin, pp 139–177
Dombi J (1982) A general class of fuzzy operators, the De Morgan class of fuzzy operators and fuzziness measures induced by fuzzy operators. Fuzzy Sets Syst 8(2):149–163
Dutta B, Guha D (2015) Partitioned Bonferroni mean based on linguistic 2-tuple for dealing with multi-attribute group decision making. Appl Soft Comput 37:166–179
Farahbod F, Eftekhari M (2012) Comparison of different t-norm operators in classification problems. arXiv preprint arXiv:1208.1955
Farid HMA, Riaz M (2021) Some generalized q-rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws. Int J Intell Syst 36(12):7239–7273
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 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
Garg H (2017) A novel improved accuracy function for interval valued pythagorean fuzzy sets and its applications in the decision-making process. Int J Intell Syst 32(12):1247–1260
Garg H (2019) Intuitionistic fuzzy Hamacher aggregation operators with entropy weight and their applications to multi-criteria decision-making problems. Iran J Sci Technol Trans Electr Eng 43(3):597–613
Garg H (2021a) A new possibility degree measure for interval-valued q-rung orthopair fuzzy sets in decision-making. Int J Intell Syst 36(1):526–557
Garg H (2021b) New exponential operation laws and operators for interval-valued q-rung orthopair fuzzy sets in group decision making process. Neural Comput Appl 33(20):13937–13963
Garg H, Rani D (2022) 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
Ghaleb AM, Kaid H, Alsamhan A, Mian SH, Hidri L (2020) Assessment and comparison of various MCDM approaches in the selection of manufacturing process. Adv Mater Sci Eng 2020:1–16
Hussain A, Ullah K, Yang M-S, Pamucar D (2022) Aczel-Alsina aggregation operators on T-spherical fuzzy (T-SF) information with application to tsf multi-attribute decision making. IEEE Access 10:26011–26023
Hussain A, Ullah K, Senapati T, Moslem S (2023) Complex spherical fuzzy Aczel Alsina aggregation operators and their application in assessment of electric cars. Heliyon 9(7):e18100
Jabeen K, Khan Q, Ullah K, Senapati T, Moslem S (2023) An approach to MADM based on Aczel-Alsina power Bonferroni aggregation operators for q-rung orthopair fuzzy sets. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3270267
Jana C, Senapati T, Pal M (2019a) Pythagorean fuzzy Dombi aggregation operators and its applications in multiple attribute decision-making. Int J Intell Syst 34(9):2019–2038
Jana C, Muhiuddin G, Pal M (2019b) Some Dombi aggregation of q-rung orthopair fuzzy numbers in multiple-attribute decision making. Int J Intell Syst 34(12):3220–3240
Jia X, Wang Y (2022) Choquet integral-based intuitionistic fuzzy arithmetic aggregation operators in multi-criteria decision-making. Expert Syst Appl 191:116242
Jin C, Ran Y, Zhang G (2021) Interval-valued q-rung orthopair fuzzy fmea application to improve risk evaluation process of tool changing manipulator. Appl Soft Comput 104:107192
Joshi BP, Singh A, Bhatt PK, Vaisla KS (2018) Interval valued q-rung orthopair fuzzy sets and their properties. J Intell Fuzzy Syst 35(5):5225–5230
Ju Y, Luo C, Ma J, Gao H, Santibanez Gonzalez ED, 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
Klement E, Mesiar R, Pap E (1997) Triangular norms. Tatra Mt Math Publ 13:169–193
Liang D, Darko AP, Xu Z, Quan W (2018) The linear assignment method for multicriteria group decision making based on interval-valued pythagorean fuzzy Bonferroni mean. Int J Intell Syst 33(11):2101–2138
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
Mahmood T, Rehman U, Ali Z (2023) Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making. Inf Sci 619:817–833
Mahnaz S, Ali J, Malik MA, Bashir Z (2021) T-spherical fuzzy Frank aggregation operators and their application to decision making with unknown weight information. IEEE Access 10:7408–7438
Menger K (2003) Statistical metrics, in selecta mathematica. Springer, Berlin, pp 433–435
Naeem M, Khan Y, Ashraf S, Weera W, Batool B (2022) A novel picture fuzzy Aczel-Alsina geometric aggregation information: application to determining the factors affecting mango crops. AIMS Math 7(7):12264–12288
Peng X, Yang Y (2016) Fundamental properties of interval-valued pythagorean fuzzy aggregation operators. Int J Intell Syst 31(5):444–487
Riaz M, Farid HMA, Karaaslan F, Hashmi MR (2020) Some q-rung orthopair fuzzy hybrid aggregation operators and TOPSIS method for multi-attribute decision-making. J Intell Fuzzy Syst 39(1):1227–1241
Saha A, Senapati T, Yager RR (2021) Hybridizations of generalized Dombi operators and Bonferroni mean operators under dual probabilistic linguistic environment for group decision-making. Int J Intell Syst 36(11):6645–6679
Seikh MR, Mandal U (2021) Intuitionistic fuzzy Dombi aggregation operators and their application to multiple attribute decision-making. Granul Comput 6(3):473–488
Seker S, Bağlan FB, Aydin N, Deveci M, Ding W (2023) Risk assessment approach for analyzing risk factors to overcome pandemic using interval-valued q-rung orthopair fuzzy decision making method. Appl Soft Comput 132:109891
Senapati T (2022) Approaches to multi-attribute decision-making based on picture fuzzy Aczel-Alsina average aggregation operators. Comput Appl Math 41(1):40
Senapati T, Chen G, Yager RR (2022a) Aczel–Alsina aggregation operators and their application to intuitionistic fuzzy multiple attribute decision making. Int J Intell Syst 37(2):1529–1551
Senapati T, Chen G, Mesiar R, Yager RR (2022b) 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
Senapati T, Martínez L, Chen G (2023a) Selection of appropriate global partner for companies using q-rung orthopair fuzzy Aczel–Alsina average aggregation operators. Int J Fuzzy Syst 25(3):980–996
Senapati T, Simic V, Saha A, Dobrodolac M, Rong Y, Tirkolaee EB (2023b) Intuitionistic fuzzy power Aczel–Alsina model for prioritization of sustainable transportation sharing practices. Eng Appl Artif Intell 119:105716
Ullah K (2021) Picture fuzzy Maclaurin symmetric mean operators and their applications in solving multiattribute decision-making problems. Math Probl Eng 2021:1–31
Wang W, Liu X (2011) Intuitionistic fuzzy geometric aggregation operators based on Einstein operations. Int J Intell Syst 26(11):1049–1075
Wan B, Zhou S (2022) A integrating CRITIC-WASPAS group decision making method under interval-valued q-rung orthogonal fuzzy enviroment. arXiv preprint arXiv:2201.01027
Xing Y, Zhang R, Wang J, Zhu X (2018) Some new pythagorean fuzzy Choquet-Frank aggregation operators for multi-attribute decision making. Int J Intell Syst 33(11):2189–2215
Xu Z, Chen Q (2011) A multi-criteria decision making procedure based on interval-valued intuitionistic fuzzy Bonferroni means. J Syst Sci Syst Eng 20(2):217–228
Yager R (2013) Pythagorean fuzzy subsets. In: 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS)
Yager RR (2016) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25(5):1222–1230
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Zedam L, Pehlivan NY, Ali Z, Mahmood T (2022) Novel Hamacher aggregation operators based on complex t-spherical fuzzy numbers for cleaner production evaluation in gold mines. Int J Fuzzy Syst 24(5):2333–2353
Zhang Z (2017) Interval-valued intuitionistic fuzzy Frank aggregation operators and their applications to multiple attribute group decision making. Neural Comput Appl 28(6):1471–1501
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Ali, J., Rasool, W. Interval-valued q-rung orthopair fuzzy Aczel–Alsina operations-based Bonferroni mean aggregation operators and their applications. Comp. Appl. Math. 43, 7 (2024). https://doi.org/10.1007/s40314-023-02511-7
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DOI: https://doi.org/10.1007/s40314-023-02511-7