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RETRACTED ARTICLE: Decision aid modeling based on sine trigonometric spherical fuzzy aggregation information

  • Fuzzy systems and their mathematics
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This article was retracted on 01 October 2022

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Abstract

Spherical fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to deal with uncertainty and fuzziness information. This paper presents a multi-attribute group decision making method based on novel sine aggregation operators to help decision makers choose the optimal alternative. Moreover, the well-known sine trigonometry function preserves the periodic and symmetric nature about the origin, and hence, it satisfies the decision makers preferences over the multi-time phase parameters. Keeping these features and the importance of the spherical fuzzy (SF) sets, the objective of this paper is to present some robust sine trigonometric (ST) operation laws for SF sets. Associated with these laws, we define some series of new aggregation operators (AOs) named as ST-weighted averaging and geometric operators to aggregate the spherical fuzzy information. Afterward, we present group decision making techniques to solve the multi-attribute group decision making problems based on proposed AOs and illustrate with a numerical example of an internet finance soft power evaluation problem to validate it. Also, we conduct some comparison analysis to study the reasonability and practicality of the proposed method.

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References

  • Arqub OA (2017) Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations. Neural Comput Appl 28(7):1591–1610

    Article  Google Scholar 

  • Arqub OA, Al-Smadi M (2020) Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions. Soft Comput. https://doi.org/10.1007/s00500-020-04687-0

    Article  MATH  Google Scholar 

  • Arqub OA, Mohammed AS, Momani S, Hayat T (2016) Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method. Soft Comput 20(8):3283–3302

    Article  Google Scholar 

  • Arqub OA, Al-Smadi M, Momani S, Hayat T (2017) Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems. Soft Comput 21(23):7191–7206

    Article  Google Scholar 

  • Ashraf S, Abdullah S (2019) Spherical aggregation operators and their application in multiattribute group decision-making. Int J Intell Syst 34(3):493–523

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Mahmood T (2018) GRA method based on spherical linguistic fuzzy Choquet integral environment and its application in multi-attribute decision-making problems. Math Sci 12(4):263–275

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Mahmood T, Aslam M (2019a) Cleaner production evaluation in gold mines using novel distance measure method with cubic picture fuzzy numbers. Int J Fuzzy Syst 21(8):2448–2461

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Mahmood T, Ghani F, Mahmood T (2019b) Spherical fuzzy sets and their applications in multi-attribute decision making problems. J Intell Fuzzy Syst 36:2829–2844

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Abdullah L (2019c) Child development influence environmental factors determined using spherical fuzzy distance measures. Mathematics 7(8):661

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Mahmood T (2019d) Spherical fuzzy Dombi aggregation operators and their application in group decision making problems. J Ambient Intell Humaniz Comput 11:2731–2749

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Aslam M, Qiyas M, Kutbi MA (2019e) Spherical fuzzy sets and its representation of spherical fuzzy t-norms and t-conorms. J Intell Fuzzy Syst 36(6):6089–6102

    Article  Google Scholar 

  • Ashraf S, Mahmood T, Abdullah S, Khan Q (2019f) Different approaches to multi-criteria group decision making problems for picture fuzzy environment. Bull Braz Math Soc New Ser 50(2):373–397

    Article  MathSciNet  Google Scholar 

  • Ashraf S, Abdullah S, Smarandache F (2019g) Logarithmic hybrid aggregation operators based on single valued neutrosophic sets and their applications in decision support systems. Symmetry 11(3):364

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Zeng S, Jin H, Ghani F (2020a) Fuzzy decision support modeling for hydrogen power plant selection based on single valued neutrosophic sine trigonometric aggregation operators. Symmetry 12(2):298

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Aslam M (2020b) Symmetric sum based aggregation operators for spherical fuzzy information: application in multi-attribute group decision making problem. J Intell Fuzzy Syst. https://doi.org/10.3233/JIFS-191819

    Article  Google Scholar 

  • Ashraf S, Abdullah S, Khan S (2021) Fuzzy decision support modeling for internet finance soft power evaluation based on sine trigonometric Pythagorean fuzzy information. J Ambient Intell Hum Comput 12(2):3101–3119

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

    Article  Google Scholar 

  • Atanassov KT (1999) Interval valued intuitionistic fuzzy sets. In: Intuitionistic fuzzy sets. Physica, Heidelberg, pp 139–177

  • Cuong BC, Kreinovich V (2013) Picture Fuzzy Sets-a new concept for computational intelligence problems. In:2013 third world congress on information and communication technologies (WICT 2013). IEEE, pp 1–6

  • 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) 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) A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties. Neural Comput Appl 32(18):15077–15099

  • Gou X, Xu Z (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  Google Scholar 

  • Jin Y, Ashraf S, Abdullah S (2019a) Spherical fuzzy logarithmic aggregation operators based on entropy and their application in decision support systems. Entropy 21(7):628

    Article  MathSciNet  Google Scholar 

  • Jin H, Ashraf S, Abdullah S, Qiyas M, Bano M, Zeng S (2019b) Linguistic spherical fuzzy aggregation operators and their applications in multi-attribute decision making problems. Mathematics 7(5):413

    Article  Google Scholar 

  • Mahmood T, Ullah K, Khan Q, Jan N (2018) An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Comput Appl 31(11):7041–7053

    Article  Google Scholar 

  • Miyamoto S (2005) Remarks on basics of fuzzy sets and fuzzy multisets. Fuzzy Sets Syst 156(3):427–431

    Article  MathSciNet  Google Scholar 

  • Qiyas M, Abdullah S, Ashraf S, Abdullah L (2019) Linguistic picture fuzzy Dombi aggregation operators and their application in multiple attribute group decision making problem. Mathematics 7(8):764

    Article  Google Scholar 

  • Qiyas M, Abdullah S, Ashraf S, Aslam M (2020) Utilizing linguistic picture fuzzy aggregation operators for multiple-attribute decision-making problems. Int J Fuzzy Syst 22(1):310–320

    Article  Google Scholar 

  • Rafiq M, Ashraf S, Abdullah S, Mahmood T, Muhammad S (2019) The cosine similarity measures of spherical fuzzy sets and their applications in decision making. J Intell Fuzzy Syst 36:6059–6073

    Article  Google Scholar 

  • Turksen IB (1986) Interval valued fuzzy sets based on normal forms. Fuzzy Sets Syst 20(2):191–210

    Article  MathSciNet  Google Scholar 

  • Yager RR (2013) Pythagorean fuzzy subsets. In: 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS). IEEE, pp 57–61

  • Zadeh LA (1965) Fuzzy sets, information and control. vol 8, pp 338–353

  • Zeng S, Hussain A, Mahmood T, Irfan Ali M, Ashraf S, Munir M (2019) Covering-based spherical fuzzy rough set model hybrid with TOPSIS for multi-attribute decision-making. Symmetry 11(4):547

    Article  Google Scholar 

  • Zhou W, Xu Z (2017) Group consistency and group decision making under uncertain probabilistic hesitant fuzzy preference environment. Inf Sci 414:276–288

    Article  Google Scholar 

Download references

Acknowledgements

This study work was supported by Higher Education Commission (HEC), Pakistan under National Research Program for University (NRPU), Project title: Fuzzy Mathematical Modeling for Decision Support Systems and Smart Grid Systems (No. 10701/KPK/NRPU/R & D/HEC/2017).

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Correspondence to Shahzaib Ashraf or Saleem Abdullah.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s00500-022-07558-y

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Ashraf, S., Abdullah, S. RETRACTED ARTICLE: Decision aid modeling based on sine trigonometric spherical fuzzy aggregation information. Soft Comput 25, 8549–8572 (2021). https://doi.org/10.1007/s00500-021-05712-6

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