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Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process

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Abstract

The paper aims are to impersonate some robust sine-trigonometric operations laws to determine the group decision-making process under the Pythagorean fuzzy set (PFS) situation. The PFS has a notable feature to trade with the dubious information with a broader membership representation space than the intuitionistic fuzzy set. Based on it, the present paper is classified into three phases. The first phase is to introduce new operational laws for PFS. The main idea behind these proposed operations is to incorporate the qualities of the sine function, namely periodicity and symmetric about the origin towards the decisions of the objects. Secondly, based on these laws, numerous operators to aggregate the information are acquired along with their requisite properties and relations. Finally, an algorithm to interpret the multiattribute group decision making problem is outlined based on the stated operators and manifest it with an illustrative example. A detailed comparative interpretation is achieved with some of the existing methods to reveal their influences.

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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(5):3425–3453

    Article  Google Scholar 

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

    Article  MATH  Google Scholar 

  • Atanassov KT (1999) Intuitionistic fuzzy sets. Physica-Verlag, New York

    Book  MATH  Google Scholar 

  • Bustince H, Barrenechea E, Pagola M, Fernandez J, Xu Z, Bedregal B, Montero J, Hagras H, Herrera F, De Baets B (2016) A historical account of types of fuzzy sets and their relationships. IEEE Trans Fuzzy Syst 24(1):179–194

    Article  Google Scholar 

  • Chen T-Y (2019) Multiple criteria decision analysis under complex uncertainty: A pearson-like correlation-based Pythagorean fuzzy compromise approach. Int J Intell Syst 34(1):114–151

    Article  Google Scholar 

  • De SK, Biswas R, Roy AR (2000) Some operations on intuitionistic fuzzy sets. Fuzzy Sets Syst 117:477–484

    Article  MathSciNet  MATH  Google Scholar 

  • Gao H (2018) Pythagorean fuzzy Hamacher prioritized aggregation operators in multiple attribute decision making. J Intell Fuzzy Syst 35(2):2229–2245

    Article  Google Scholar 

  • 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

    Article  MathSciNet  MATH  Google Scholar 

  • Garg H (2016) A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making. Int J Intell Syst 31(9):886–920

    Article  Google Scholar 

  • Garg H (2017) Novel intuitionistic fuzzy decision making method based on an improved operation laws and its application. Eng Appl Artif Intell 60:164–174

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Garg H (2018) Generalized Pythagorean fuzzy geometric interactive aggregation operators using Einstein operations and their application to decision making. J Exp Theor Artif Intell 30(6):763–794

    Article  Google Scholar 

  • Garg H (2018) New exponential operational laws and their aggregation operators for interval-valued Pythagorean fuzzy multicriteria decision - making. Int J Intell Syst 33(3):653–683

    Article  Google Scholar 

  • Garg H (2019) Novel neutrality operation-based Pythagorean fuzzy geometric aggregation operators for multiple attribute group decision analysis. Int J Intell Syst 34(10):2459–2489

    Article  Google Scholar 

  • Garg H (2019) New logarithmic operational laws and their aggregation operators for Pythagorean fuzzy set and their applications. Int J Intell Syst 34(1):82–106

    Article  Google Scholar 

  • Garg H (2020) Neutrality operations-based Pythagorean fuzzy aggregation operators and its applications to multiple attribute group decision-making process. J Ambient Intell Humaniz Comput 11(7):3021–3041

    Article  Google Scholar 

  • Garg H (2020) Linguistic interval-valued Pythagorean fuzzy sets and their application to multiple attribute group decision-making process. Cogn Comput 12(6):1313–1337

    Article  Google Scholar 

  • Garg H, Kumar K (2019) Linguistic interval-valued Atanassov intuitionistic fuzzy sets and their applications to group decision-making problems. IEEE Trans Fuzzy Syst 27(12):2302–2311

    Article  Google Scholar 

  • Garg H, Kumar K (2020) A novel exponential distance and its based TOPSIS method for interval-valued intuitionistic fuzzy sets using connection number of SPA theory. Artif Intell Rev 53(1):595–624

    Article  Google Scholar 

  • Gou XJ, Xu ZS (2017) Exponential operations for intuitionistic fuzzy numbers and interval numbers in multi-attribute decision making. Fuzzy Optim Decis Making 16(2):183–204

    Article  MathSciNet  MATH  Google Scholar 

  • Gou XJ, Xu ZS, Lei Q (2016) New operational laws and aggregation method of intuitionistic fuzzy information. J Intell Fuzzy Syst 30:129–141

    Article  MATH  Google Scholar 

  • Herrera F, Herrera VE (1997) Aggregation operators for linguistic weighted information. IEEE Trans Syst Man Cybern- A: Syst Hum 27(5):646–656

    Article  Google Scholar 

  • Huang JY (2014) Intuitionistic fuzzy Hamacher aggregation operator and their application to multiple attribute decision making. J Intell and Fuzzy Syst 27:505–513

    Article  MathSciNet  MATH  Google Scholar 

  • Hwang C-M, Yang M-S, Hung W-L (2018) New similarity measures of intuitionistic fuzzy sets based on the Jaccard index with its application to clustering. Int J Intell Syst 33(8):1672–1688

    Article  Google Scholar 

  • Kumar K, Garg H (2018) TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment. Comput Appl Math 37(2):1319–1329

    Article  MathSciNet  MATH  Google Scholar 

  • Li D, Zeng W, Yin Q (2017) Distance measures of Pythagorean fuzzy sets and their applications in multiattribute decision making. Control Decis 32(10):1817–1823

    MATH  Google Scholar 

  • Li N, Garg H, Wang L (2019) Some novel Pythagorean hybrid weighted aggregation operators with Pythagorean fuzzy numbers and their applications to decision making. Mathematics 7(12):1150. https://doi.org/10.3390/math7121150

    Article  Google Scholar 

  • 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(12):1198–1219

    Article  Google Scholar 

  • Nie R-X, Tian Z-P, Wang J-Q, Hu J-H (2019) Pythagorean fuzzy multiple criteria decision analysis based on shapley fuzzy measures and partitioned normalized weighted bonferroni mean operator. Int J Intell Syst 34(2):297–324

    Article  Google Scholar 

  • Peng X, Garg H (2019) Multiparametric similarity measures on Pythagorean fuzzy sets with applications to pattern recognition. Appl Intell 49(12):4058–4096

    Article  Google Scholar 

  • Peng X, Yang Y (2015) Some results for Pythagorean fuzzy sets. Int J Intell Syst 30(11):1133–1160

    Article  MathSciNet  Google Scholar 

  • Qin J, Liu X (2014) An approach to intuitionistic fuzzy multiple attribute decision making based on Maclaurin symmetric mean operators. J Intell Fuzzy Syst 27(5):2177–2190

    Article  MathSciNet  MATH  Google Scholar 

  • Wang L, Garg H, Li N (2020) Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weights. Soft Comput. https://doi.org/10.1007/s00500-020-05193-z

    Article  Google Scholar 

  • Wei GW, Lu M (2018) Pythagorean fuzzy power aggregation operators in multiple attribute decision maig. Int J Intell Syst 33(1):169–186

    Article  Google Scholar 

  • Wei G, 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

    Article  Google Scholar 

  • Xu ZS (2007) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15:1179–1187

    Article  Google Scholar 

  • Xu ZS, Yager RR (2006) Some geometric aggregation operators based on intuitionistic fuzzy sets. Int J Gen Syst 35:417–433

    Article  MathSciNet  MATH  Google Scholar 

  • Xu Z, Yager RR (2011) Intuitionistic fuzzy bonferroni means. IEEE Trans Syst Man Cybern B Cybern 41(2):568–578

    Article  Google Scholar 

  • Yager RR (2013) Pythagorean fuzzy subsets. In: Proceedings Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Canada, pp 57–61

  • Yager RR (2014) Pythagorean membership grades in multicriteria decision making. IEEE Trans Fuzzy Syst 22(4):958–965

    Article  Google Scholar 

  • Yager RR, Abbasov AM (2013) Pythagorean membeship grades, complex numbers and decision making. Int J Intell Syst 28:436–452

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MATH  Google Scholar 

  • Zeng S, Chen J, Li X (2016) A hybrid method for Pythagorean fuzzy multiple-criteria decision making. Int J Inf Technol Decis Making 15(2):403–422

    Article  Google Scholar 

  • Zhang XL (2016) A novel approach based on similarity measure for Pythagorean fuzzy multiple criteria group decision making. Int J Intell Syst 31:593–611

    Article  Google Scholar 

  • Zhang XL, Xu ZS (2014) Extension of TOPSIS to multi-criteria decision making with Pythagorean fuzzy sets. Int J Intell Syst 29(12):1061–1078

    Article  Google Scholar 

Download references

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Correspondence to Harish Garg.

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Garg, H. Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process. Artif Intell Rev 54, 4421–4447 (2021). https://doi.org/10.1007/s10462-021-10002-6

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