Abstract
In this paper, by integrating the q-rung orthopair fuzzy set (q-ROFS) with the N-soft set, we first propose a q-rung orthopair fuzzy N-soft set (q-ROFNSS). Based on the q-ROFNSS, we explore the q-rung orthopair fuzzy N-soft weighted average (q-ROFNSWA) operator and q-rung orthopair fuzzy N-soft weighted geometric (q-ROFNSWG) operator, and investigate some properties of the q-ROFNSWG operator and q-ROFNSWG operator including idempotency, monotonicity and boundedness. Finally, two kinds of multiple-attribute group decision-making (MAGDM) methods based on q-rung orthopair fuzzy N-soft aggregation operators are established. In addition, a practical example is provided to illustrate the effectiveness and correctness of the new decision-making approaches. Through comparison with existing methods, the advantages of our method are also elaborated.
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References
Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
Akram M, Adeel A (2018) Fuzzy N-soft sets:a novel model with applications. J Intell Fuzzy Syst 35(4):4757–4771
Akram M, Ali G (2019) New decision-making hybrid model:intuitionistic fuzzy N-soft rough sets. Soft Comput 23(20):9853–9868
Du WS (2018) Minkowski-type distance measures for generalized orthopair fuzzy sets. Int J Intell Syst 33(4):802–817
Fatimah F, Rosadi D, Fajriya Hakim R.B. (2018) N-soft sets and their decision making algorithms. Soft Comput 22(12):3829–3842
Garg H (2017) Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t-norm and t-conorm for multicriteria decision-making process. Int J Intell Syst 32(6):597–630
Hussain A (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 (2019) 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
Hussain A, Ali MI, Mahmood T (2020) Hesitant q-rung orthopair fuzzy aggregation operators with their applications in multi criteria decision making. Iran J Fuzzy Syst 17(3):117–134
Joshi BP (2018) Interval-valued q-rung orthopair fuzzy sets and their properties. J Intell Fuzzy Syst 35(5):5225–5230
Liu PD, Wang P (2017) Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-mttribute decision making. Int J Intell Syst 22(1):259–280
Liu PD, 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 PD, Shyi-Ming C, Peng W (2020) Multiple-attribute group decision-making based on q-rung orthopair fuzzy power maclaurin symmetric mean operators. IEEE Trans Syst Man Cybern Syst 50(10):3741–3756
Liu PD, 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 ZM, Wang S, Liu PD (2018) Multiple attribute group decision making based on q-rung orthopair fuzzy Heronian mean operators. Int J Intell Syst 33(12):2341–2363
Maji PK, Biswas R, Roy AR (2001) Fuzzy soft set. J Fuzzy Mathem 9(3):589–602
Maji PK, Samanta SK (2010) Generalised fuzzy soft sets. Comput Math Appl 59(4):1425–1432
Peng XD, 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
Wang J, Gao H, Wei GW (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):131–157
Wei GW, 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
Wang J (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 HH (2019) Multi-attribute group decision-making methods based on q-rung orthopair fuzzy linguistic sets. Int J Intell Syst 34(6):1129–1157
Riaz M, Aman N, Zareef I (2019) N-soft topology and its applications to multi-criteria group decision making. J Intell Fuzzy Syst 36(6):6521–6536
Riaz M, Tehrim ST (2020) Cubic bipolar fuzzy set with application to multi-criteria group decision making using geometric aggregation operators. Soft Comput 24(21):16111–16133
Riaz M, Farid HMA, Karaaslan F (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
Riaz M, Hashmi MR (2019) Linear Diophantine fuzzy set and its applications towards multi-attribute decision-making problems. J Intell Fuzzy Syst 37(4):5417–5439
Riaz M, Hashmi MR, Pamucar D, Chu YM (2021) Spherical linear Diophantine fuzzy sets with modeling uncertainties in MCDM. Comput Model Eng Sci 126(3):1125-1164
Xing YP (2019) Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making. Soft Comput 23(4):1627–1649
Xu ZS (2010) Projection models for intuitionistic fuzzy multiple attribute decision-making. Int J Inf Technol Decis Mak 9(2):267–280
Xing YP (2020) A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators. Neural Comput Appl 32(11):7465–7488
Yang XB, Lin TY, Yang JY (2009) Combination of interval-valued fuzzy set and soft set. Comput Math Appl 58(3):521–527
Yang Y, Tan X, Meng CC (2013) The multi-fuzzy soft set and its application in decision making. Appl Math Model 37(7):4915–4923
Yager RR (2017) Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst 25(5):1222-1230
Yager RR, Alajlan N, Bazi Y (2018) Aspects of generalized orthopair fuzzy sets. Int J Intell Syst 33(11):2154–2174
Yager RR (2014) Pythagoream membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–356
Zhang HD, Jiahua DJ, Yan C (2020) Multi-attribute group decision-making methods based on Pythagorean fuzzy N-soft sets. IEEE Access 8:62298–62309
Acknowledgements
The authors would like to thank the anonymous referees for their valuable comments and suggestions.
Funding
This study was funded by the National Natural Science Foundation of China (No. 61966032), the Natural Science Foundation of Gansu Province (No. 20JR10RA118), the Fundamental Research Funds for the Central Universities of Northwest MinZu University (No. 31920210025) and the Innovation Team for Operations Research and Cybernetics of Northwest MinZu University.
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HZ contributed to the manuscript preparation and the conception of the study, and made important revisions to the paper; TN wrote the manuscript; and YH performed the experiment and the data analysis.
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Zhang, H., Nan, T. & He, Y. q-Rung orthopair fuzzy N-soft aggregation operators and corresponding applications to multiple-attribute group decision making. Soft Comput 26, 6087–6099 (2022). https://doi.org/10.1007/s00500-022-07126-4
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DOI: https://doi.org/10.1007/s00500-022-07126-4