Abstract
The objective of this paper is to develop Pythagorean fuzzy (PF) aggregation operators, utilizing the concept of power aggregation operators through Schweizer and Sklar (SS) operations. A series of aggregation operators, viz., PF SS power average operator, PF SS power weighted average operator, PF SS power geometric operator, and PF SS power weighted geometric operator under PF environment is proposed in this paper. The developed operators possess the capacity to make information aggregation technique more flexible than other existing operators due to the presence of SS t-norms and t-conorms in PF environment. Also, for the appearance of power aggregation operator, the developed operators contain the capability to eliminate effects of unreasonable data from biased decision makers by considering interrelationships among the fused arguments. Several properties of the proposed operators are studied and a method for solving multi-attribute decision-making problems under PF context is developed. To illustrate the proposed method and to show its efficiency, an example, studied previously, is solved and compared with existing methods.
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References
Akram M, Ilyas F, Garg H (2020) Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information. Soft Comput 24:3425–3453. https://doi.org/10.1007/s00500-019-04105-0
Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Set Syst 20(1):87–96
Atanassov K (1989) Interval-valued intuitionistic fuzzy sets. Fuzzy Set Syst 31:343–349
Beliakov G, James S (2014) Averaging aggregation functions for preferences expressed as Pythagorean membership grades and fuzzy orthopairs. FUZZ-IEEE. https://doi.org/10.1109/FUZZ-IEEE.2014.6891595
Biswas A, De AK (2018) A unified method of defuzzification for type-2 fuzzy numbers with its application to multiobjective decision making. Granul Comput 3:301–318
Biswas A, Kumar S (2019) Generalization of extent analysis method for solving multicriteria decision making problems involving intuitionistic fuzzy numbers. OPSEARCH 56(4):1142–1166
Biswas A, Majumder D (2014) Genetic algorithm based hybrid fuzzy system for assessing morningness. Adv Fuzzy Syst 2014:1–9
Biswas A, Modak N (2013) A fuzzy goal programming technique for multiobjective chance constrained programming with normally distributed fuzzy random variables and fuzzy numbers. Int J Math Oper Res 5:551–570
Biswas A, Sarkar B (2018) Pythagorean fuzzy multi criteria group decision making through similarity measure based on point operators. Int J Intell Syst 31(8):1731–1744
Biswas A, Sarkar B (2019) Pythagorean fuzzy TOPSIS for multicriteria group decision-making with unknown weight information through entropy measure. Int J Intell Syst 34:1108–1128
Chen SM, Chang CH (2016) Fuzzy multi attribute decision making based on transformation techniques of intuitionistic fuzzy values and intuitionistic fuzzy geometric averaging operators. Inf Sci 352–353:133–149
Chen SM, Chen JH (2009) Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators. Expert Syst Appl 36(3):6309–6317
Chen SM, Chiou CH (2014) Multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology. IEEE Trans Fuzzy Syst 23(6):1905–1912
Chen SM, Hsiao WH (2000) Bidirectional approximate reasoning for rule-based systems using interval-valued fuzzy sets. Fuzzy Sets Syst 113:185–203
Chen SM, Hsiao WH, Jong WT (1997) Bidirectional approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets Syst 91:339–353
Chen SM, Cheng SH, Lan TC (2016) Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values. Inf Sci 367–368:279–295
Deschrijver G (2009) Generalized arithmetic operators and their relationship to t-norms in interval-valued fuzzy set theory. Fuzzy Set Syst 160(21):3080–3102
Deschrijver G, Kerre EE (2002) A generalization of operators on intuitionistic fuzzy sets using triangular norms and conorms. Notes Intuit Fuzzy Sets 8(1):19–27
Ejegwa PA (2019) Improved composite relation for Pythagorean fuzzy sets and its application to medical diagnosis. Granul Comput 5:277–286
Ejegwa PA (2020) Distance and similarity measures for Pythagorean fuzzy sets. Granul Comput 5:225–238. https://doi.org/10.1007/s41066-018-00149-z
Gao H (2018) Pythagorean fuzzy hamacher prioritized aggregation operators in multiple attribute decision making. J Intell Fuzzy Syst 35(2):2229–2245
Gao H, Lu M, Wei G, Wei Y (2018) Some novel Pythagorean fuzzy interaction aggregation operators in multiple attribute decision making. Fundamenta Informaticae 159(4):385–428
Garg H (2016a) A novel correlation coefficients between Pythagorean fuzzy sets and its applications to decision-making processes. Int J Intell Syst 31(12):1234–1252
Garg H (2016b) A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making. Int J Intell Syst 31(9):886–920
Garg H (2017) Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t-norm and t-conorm for multi criteria decision making process. Int J Intell Syst 32(6):597–630
Garg H (2018) Some methods for strategic decision making problems with immediate probabilities in Pythagorean fuzzy environment. Int J Intell Syst 33(4):687–712
Gorzałczany MB (1987) A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets Syst 21(1):1–17
Gou X, Xu Z, Ren P (2016) The properties of continuous Pythagorean fuzzy information. Int J Intell Syst 31(5):401–424
Khan MSA, Abdullah S, Ali A et al (2019a) An extension of VIKOR method for multi-attribute decision-making under Pythagorean hesitant fuzzy setting. Granul Comput 4:421–434. https://doi.org/10.1007/s41066-018-0102-9
Khan MSA, Abdullah S, Ali A et al (2019b) Pythagorean fuzzy prioritized aggregation operators and their application to multi-attribute group decision making. Granul Comput 4:249–263
Kumar S, Biswas A (2019) A unified TOPSIS approach to MADM problems in interval-valued intuitionistic fuzzy environment. Adv Intel Syst Comput 799:435–447
Li Z, Wei G, Lu M (2018) Pythagorean fuzzy hamy mean operators in multiple attribute group decision making and their application to supplier selection. Symmetry 10(10):505
Liang D, Zhang Y, Xu Z, Darko AP (2018) Pythagorean fuzzy Bonferroni mean aggregation operator and its accelerative calculating algorithm with the multithreading. Int J Intell Syst 33(3):615–633
Liu PD (2017) Multiple attribute group decision making method based on interval-valued intuitionistic fuzzy power Heronian aggregation operators. Comput Ind Eng 108:199–212
Liu PD, Liu Y (2014) An approach to multiple attribute group decision making based on intuitionistic trapezoidal fuzzy power generalized aggregation operator. Int J Comput Intell Syst 7(2):291–304
Liu P, Liu J (2018) Some q-rung orthopai fuzzy Bonferroni mean operators and their application to multi-attribute group decision making. Int J Intell Syst 33:315–347
Liu P, Liu W (2019a) 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
Liu P, Liu W (2019b) 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
Liu PD, Teng F (2018) Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator. Int J Mach Learn Cyber 9(2):281–293
Liu P, Wang P (2018a) Some interval-valued intuitionistic fuzzy Schweizer-Sklar power aggregation operators and their application to supplier selection. Int J Syst Sci 49(6):1188–1211
Liu P, Wang P (2018b) Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Int J Intell Syst 33(2):259–280
Liu P, Wang P (2019) Multiple-attribute decision making based on Archimedean Bonferroni operators of q-rung orthopair fuzzy numbers. IEEE Trans Fuzzy Syst 27:834–848
Liu P, Wang Y (2020) Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators. Inf Sci 518:181–210
Liu P, Ali Z, Mahmood T (2019a) A method to multi-attribute group decision-making problem with complex q-rung orthopair linguistic information based on heronian mean operators. Int J Comput Int Syst 12(2):1465–1496
Liu P, Chen SM, Wang P (2019b) 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 P, Liu P, Wang P, Zhu B (2019c) An extended multiple attribute group decision making method based on q-Rung orthopair fuzzy numbers. IEEE Access 7:162050–162061
Lu M, Wei G (2017) Pythagorean uncertain linguistic aggregation operators for multiple attribute decision making. Int J Knowl Based Intell Eng Syst 21(3):165–179
Ma ZM, Xu ZS (2016) Symmetric pythagorean fuzzy weighted geometric averaging operators and their application in multicriteria decision-making problems. Int J Intell Syst 31:1198–1219
Nayagam VLG, Sivaraman G (2011) Ranking of interval-valued intuitionistic fuzzy sets. Appl Soft Comput 11:3368–3372
Peng X, Yang Y (2015) Some results for Pythagorean fuzzy sets. Int J Intell Syst 30(11):1133–1160
Peng X, Yuan H (2016) Fundamental properties of Pythagorean fuzzy aggregation operators. Fundamenta Informaticae 147:415–446
Rahman K (2019) A series of generalized induced Einstein aggregation operators and their application to group decision-making process based on Pythagorean fuzzy numbers. Granul Comput. https://doi.org/10.1007/s41066-019-00184-4
Rahman K, Abdullah S (2019) Generalized interval-valued Pythagorean fuzzy aggregation operators and their application to group decision-making. Granul Comput 4:15–25. https://doi.org/10.1007/s41066-018-0082-9
Rahman K, Ali A (2020) New approach to multiple attribute group decision-making based on Pythagorean fuzzy Einstein hybrid geometric operator. Granul Comput 5:349–359
Rani P, Mishra AR, Pardasani KR, Mardani A, Liao H, Streimikiene D (2019) A novel VIKOR approach based on entropy and divergence measures of Pythagorean fuzzy sets to evaluate renewable energy technologies in India. J Clean Prod 238:117936. https://doi.org/10.1016/j.jclepro.2019.117936
Reformat MZ, Yager RR (2014) Suggesting recommendations using Pythagorean fuzzy sets illustrated using Netflix movie data. Information processing and management of uncertainty in knowledge based systems. Springer, Cham, pp 546–556
Reformat MZ, Yager RR (2017) Composition-based Users’ matching processes with Pythagorean fuzzy sets. In: 2017 IEEE international conference on fuzzy systems, 1–6 July
Ren P, Xu Z, Gou X (2016) Pythagorean fuzzy TODIM approach to multi-criteria decision making. Appl Soft Comput 42:246–259
Sarkar A, Biswas A (2019) Multicriteria decision-making using Archimedean aggregation operators in Pythagorean hesitant fuzzy environment. Int J Intell Syst 34(7):1361–1386
Schweizer B, Sklar A (2011) Probabilistic metric spaces. Courier Corporation, North Chelmsford
Seikh MR, Mandal U (2019) Intuitionistic fuzzy Dombi aggregation operators and their application to multiple attribute decision-making. Granul Comput. https://doi.org/10.1007/s41066-019-00209-y
Sharaf IM (2020) Supplier selection using a flexible interval-valued fuzzy VIKOR. Granul Comput 5:485–501. https://doi.org/10.1007/s41066-019-00169-3
Wang CY, Chen SM (2017) Multiple attribute decision making based on interval-valued intuitionistic fuzzy sets, linear programming methodology, and the extended TOPSIS method. Inf Sci 397–398:155–167
Wang P, Liu P (2019) Some Maclaurin symmetric mean aggregation operators based on Schweizer-Sklar operations for intuitionistic fuzzy numbers and their application to decision making. J Intell Fuzzy Syst 36(4):3801–3824
Wei GW (2019) Pythagorean fuzzy Hamacher power aggregation operators in multiple attribute decision making. Fundam Inf 166(1):57–85
Wei G, Lu M (2018a) Pythagorean fuzzy power aggregation operators in multiple attribute decision making. Int J Intell Syst 33(1):169–186
Wei GW, Lu M (2018b) Pythagorean fuzzy Maclaurin symmetric mean operators in multiple attribute decision making. Int J Intell Syst 33(5):1043–1070
Wei GW, Wei Y (2018) Similarity measures of Pythagorean fuzzy sets based on the cosine function and their applications. Int J Intell Syst 33(3):634–652
Xu Z, Yager RR (2010) Power-geometric operators and their use in group decision making. IEEE Trans Fuzzy Syst 18(1):94–105
Yager RR (2001) The power average operator. IEEE Trans Syst Man Cybernet A 31:724–731
Yager RR (2013) Pythagorean fuzzy subsets. In: Proc. joint IFSA world congress and NAFIPS annual meeting, Edmonton, pp 57–61. https://doi.org/https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965
Yager RR, Abbasov AM (2013) Pythagorean membership grades, complex numbers and decision making. Int J Intell Syst 28(5):436–452
Zadeh LA (1965) Fuzzy sets. Inform Control 8(3):338–353
Zeng S, Chen SM, Kuo LW (2019) Multiattribute decision making based on novel score function of intuitionistic fuzzy values and modified VIKOR method. Inf Sci 488:76–92
Zhang L (2018) Intuitionistic fuzzy averaging Schweizer-Sklar operators based on interval-valued intuitionistic fuzzy numbers and its applications. In: Proceedings of the 2018 Chinese control and decision conference (CCDC), Shenyang, pp 2194–2197. https://doi.org/https://doi.org/10.1109/CCDC.2018.8407490
Zhang X, Xu Z (2014) Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078
Zhang X, He H, Xu Y (2006) A fuzzy logic system based on Schweizer-Sklar t-norm. Sci China Ser F Inf Sci 49(2):175–188. https://doi.org/10.1007/s11432-006-0175-y
Zhang X, Liu PD, Wang YM (2015) Multiple attribute group decision making methods based on intuitionistic fuzzy frank power aggregation operators. J Intell Fuzzy Syst 29:2235–2246
Zhang H, Wang F, Geng Y (2019) Multi-criteria decision-making method based on single-valued neutrosophic schweizer-sklar muirhead mean aggregation operators. Symmetry 11:152
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Biswas, A., Deb, N. Pythagorean fuzzy Schweizer and Sklar power aggregation operators for solving multi-attribute decision-making problems. Granul. Comput. 6, 991–1007 (2021). https://doi.org/10.1007/s41066-020-00243-1
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DOI: https://doi.org/10.1007/s41066-020-00243-1