Skip to main content
SpringerLink
Log in

Multi-criteria Radio Frequency Identification Approach for Manufacturing Company Selection Based on Partitioned Maclaurin Symmetric Mean Operators Under Complex Intuitionistic Fuzzy Set Environment

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

The theory of intuitionistic fuzzy sets (IFSs) plays an essential role to deal with uncertainty and ambiguity. However, the IFSs deal only with anticipation, not periodicity. But, complex IFSs (CIFS) can handle both uncertainties and periodicity at a time. Therefore, this paper focuses on a new multi-criteria decision making (MCDM) approach using Maclaurin symmetric mean (MSM) operator in connection with the CIFS setting. Then, we develop some CIF partitioned based MSM (CIFPMSM) operators and their weighted form by considering that all the criteria can be arranged into some groups. The proposed operators not only deal with the interrelationship among criteria but also deal with the partitioned relationship among criteria. We discuss the properties of these proposed operators and investigate their cases. Finally, a decision-making approach for radio frequency identification (RFID) for manufacturing companies is developed based on the proposed operators and compared the results with the existing method to show the application and feasibility of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  Google Scholar 

  2. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)

    Article  Google Scholar 

  3. Boran, F.E., Akay, D.: A biparametric similarity measure on intuitionistic fuzzy sets with applications to pattern recognition. Inf. Sci. 255, 45–57 (2014)

    Article  MathSciNet  Google Scholar 

  4. Chen, S.M.: Similarity measures between vague sets and between elements. IEEE Trans. Syst. Man Cybern. 27(1), 153–158 (1997)

    Article  CAS  Google Scholar 

  5. Sarkar, B., Omair, M., Kim, N.: A cooperative advertising collaboration policy in supply chain management under uncertain conditions. App. Soft Comput. 88, 105948 (2020)

    Google Scholar 

  6. Habib, M.S., Asghar, O., Hussain, A., Imran, M., Mughal, M.P., Sarkar, B.: A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. J. Clean. Prod. 278, 122403 (2021)

    Article  CAS  Google Scholar 

  7. Hung, W.L., Yang, M.S.: Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recognit. Lett. 25, 1603–1611 (2004)

    Article  ADS  Google Scholar 

  8. Garai, A., Sarkar, B.: Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel. J. Clean. Prod. 334, 129977 (2022)

    Article  Google Scholar 

  9. Sarkar, B., Sarkar, M., Ganguly, B., Cárdenas-Barrón, L.E.: Combined effects of carbon emission and production quality improvement for fixed lifetime products in a sustainable supply chain management. Int. J. Prod. Econ. 231, 107867 (2021)

    Article  Google Scholar 

  10. Dengfeng, L., Chuntian, C.: New similarity measure of intuitionistic fuzzy sets and application to pattern recognitions. Pattern Recognit. Lett. 23, 221–225 (2002)

    Article  ADS  Google Scholar 

  11. Jiang, W., Wei, B., Liu, X., Li, X., Zheng, H.: Intuitionistic fuzzy power aggregation operator based on entropy and its application in decision making. Int. J. Intell. Syst. 33(1), 49–67 (2018)

    Article  Google Scholar 

  12. Ullah, M., Asghar, I., Zahid, M., Omair, M., AlArjani, A., Sarkar, B.: Ramification of remanufacturing in a sustainable three-echelon closed-loop supply chain management for returnable products. J. Clean. Prod. 290, 125609 (2021)

  13. Bonferroni, C.: Sullemedie multiple di potenze. Boll. Mat. Ital. 5(3), 267–270 (1950)

    MathSciNet  Google Scholar 

  14. Liu, P., Zhang, L., Liu, X., Wang, P.: Multi-valued neutrosophic number Bonferroni mean operators with their applications in multiple attribute group decision making. Int. J. Inf. Technol. Decis. Mak. 15(5), 1181–1210 (2016)

    Article  Google Scholar 

  15. Mahmooda, T., Liu, P., Yec, J., Khana, Q.: Several hybrid aggregation operators for triangular intuitionistic fuzzy set and their application in multi-criteria decision making. Granul. Comput. 3(2), 153–168 (2018)

    Article  Google Scholar 

  16. Xu, Z., Yager, R.R.: Intuitionistic fuzzy Bonferroni means. IEEE Trans. Syst. Man Cybern. B 41(2), 568–578 (2011)

    Article  Google Scholar 

  17. Detemple, D., Robertson, J.: On generalized symmetric means of two variables. Univ. Beograd Publ Elektrotehn. Fak. Ser. Mat. Fiz. 634, 236–238 (1979)

    MathSciNet  Google Scholar 

  18. Liu, P., Chen, S.M., Wang, Y., Liu, J.: Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators. Inf. Sci. 411, 98–121 (2017)

    Article  MathSciNet  Google Scholar 

  19. Maclaurin, C.: A second letter to Martin Folkes, Esq concerning the roots of equations, with demonstration of other rules of algebra. Philos. Trans. R. Soc. Lond. A 36, 59–96 (1729).

  20. Liu, P., Liu, W.: Intuitionistic fuzzy interaction Maclaurin symmetric means and their application to multiple-attribute decision-making. Technol. Econ. Dev. Econ. 24(4), 1533–1559 (2018)

    Article  Google Scholar 

  21. Liu, P., Chen, S.M., Wang, Y.: intuitionistic fuzzy partitioned Maclaurin mean operators. In: Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, Chengdu, China, 2018, pp. 710–714 (2018)

  22. Liu, P., Qin, X.: Maclaurin symmetric mean operator of linguistic fuzzy number and their application to multiple-attribute decision-making. J. Theor. Exp. Artif. Intell. 29(6), 1173–1202 (2017)

    Article  ADS  Google Scholar 

  23. Rong, L., Liu, P., Chu, Y.: Multiple attribute group decision making methods based on intuitionistic fuzzy generalized Hamacher aggregation operator. Econ. Comput. Econ. Cybern. Stud. Res. 50(2), 211–230 (2016)

    Google Scholar 

  24. Liu, P., Chen, S.M., Wang, Y.: Multi attribute group decision making based on intuitionistic fuzzy partitioned Maclaurin symmetric mean operators. Inf. Sci. 512, 830–854 (2020)

    Article  Google Scholar 

  25. Ramot, D., Milo, R., Fiedman, M., Kandel, A.: Complex fuzzy sets. IEEE Trans. Fuzzy Syst. 10(2), 171–186 (2002)

    Article  Google Scholar 

  26. Ramot, D., Friedman, M., Langholz, G., Kandel, A.: Complex fuzzy logic. IEEE Trans. Fuzzy Syst. 11(4), 450–461 (2003)

    Article  Google Scholar 

  27. Dick, S., Yager, R.R., Yazdanbakhsh, O.: On Pythagorean and complex fuzzy set operations. IEEE Trans. Fuzzy Syst. 24(5), 1009–1021 (2016)

    Article  Google Scholar 

  28. Alkouri, A., Salleh, A.: Complex intuitionistic fuzzy sets. In: Second International Conference on Fundamental and Applied Sciences, 2012, vol 1482, pp. 464–470 (2012)

  29. Alkouri, A.U.M., Salleh, A.R.: Some operations on complex Atanassov’s intuitionistic fuzzy sets. AIP Conf. Proc. 1571(1), 987–993 (2013)

    Article  ADS  Google Scholar 

  30. Rani, D., Garg, H.: Distance measures between the complex intuitionistic fuzzy sets and its applications to the decision-making process. Int. J. Uncertain. Quantif. 7(5), 423–439 (2017)

    Article  MathSciNet  Google Scholar 

  31. Rani, D., Garg, H.: Complex intuitionistic fuzzy power aggregation operators and their applications in multicriteria decision-making. Expert Syst. 35(6), e12325 (2018). https://doi.org/10.1111/exsy.12325

    Article  Google Scholar 

  32. Garg, H., Rani, D.: Some generalized complex intuitionistic fuzzy aggregation operators and their application to multicriteria decision-making process. Arab. J. Sci. Eng. 44(3), 2679–2698 (2019)

    Article  Google Scholar 

  33. Garg, H., Rani, D.: A robust correlation coefficient measure of complex intuitionistic fuzzy sets and their applications in decision-making. Appl. Intell. 49(2), 496–512 (2019)

    Article  Google Scholar 

  34. Garg, H., Rani, D.: Novel aggregation operators and ranking method for complex intuitionistic fuzzy sets and their applications to decision-making process. Artif. Intell. Rev. 53, 3595–3620 (2020). https://doi.org/10.1007/s10462-019-09772-x

    Article  Google Scholar 

  35. Garg, H., Rani, D.: Generalized geometric aggregation operators based on t-norm operations for complex intuitionistic fuzzy sets and their application to decision-making. Cogn. Comput. 12, 679–698 (2020). https://doi.org/10.1007/s12559-019-09678-4

    Article  Google Scholar 

  36. Garg, H., Rani, D.: New prioritized aggregation operators with priority degrees among priority orders for complex intuitionistic fuzzy information. J. Ambient Intell. Humaniz. Comput. (2021). https://doi.org/10.1007/s12652-021-03164-2

    Article  PubMed  PubMed Central  Google Scholar 

  37. Garg, H., Rani, D.: Multi-criteria decision making method based on Bonferroni mean aggregation operators of Complex intuitionistic fuzzy numbers. J. Ind. Manag. Optim. 17(5), 1–28 (2019)

    MathSciNet  Google Scholar 

  38. Garg, H., Rani, D.: Some results on information measures for complex intuitionistic fuzzy sets. J. Intell. Syst. 34, 2319–2363 (2019)

    Article  Google Scholar 

  39. Garg, H., Rani, D.: Exponential, logarithmic and compensative generalized aggregation operators under complex intuitionistic fuzzy environment, group decision and negotiation. https://doi.org/10.1007/s10726-019-09631-8

  40. Chuu, S.J.: An investment evaluation of supply chain RFID technologies: a group decision-making model with multiple information sources. Knowl. Based Syst. 66, 210–220 (2014)

    Article  Google Scholar 

  41. Hou, J.L., Huang, C.H.: Quantitative performance evaluation of RFID applications in the supply chain of the printing industry. Ind. Manag. Data Syst. 106, 96–120 (2006)

    Article  Google Scholar 

  42. Legg, G.: RFID tags connect smart cars to smart highways. EDN 39(26), 33–34 (1994)

    Google Scholar 

  43. Schneirman, R.: RFID markets growth tied to new applications. In: Microwaves & RF, pp. 10–11 (1995)

  44. Naresh, A.L., Jahern, C.T.: Communication and tracking for construction vehicles. J. Constr. Eng. Manag. ASCE 123, 261–268 (1997)

    Article  Google Scholar 

  45. Ustundag, A., Tanyas, M.: The impacts of radio frequency identification (RFID) technology on supply chain costs. Transp. Res. E 45, 29–38 (2009)

    Article  Google Scholar 

  46. Kumar, K., Chen, S.M.: Multi attribute decision making based on interval-valued intuitionistic fuzzy values, score function of connection numbers, and set pair analysis theory. Inf. Sci. 551, 100–112 (2021)

    Article  Google Scholar 

  47. Mishra, U., Wu, Z., Sarkar, B.: A sustainable production-inventory model for a controllable carbon emissions rate under shortages. J. Clean. Prod. 256, 120268 (2020)

    Article  Google Scholar 

  48. Mishra, U., Wu, Z., Sarkar, B.: Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Clean. Prod. 279,123699 (2021)

    Article  CAS  Google Scholar 

  49. Ullah, M., Sarkar, B.: Recovery-channel selection in a hybrid manufacturing-remanufacturing production model with RFID and product quality. Int. J. Prod. Econ. 219, 360–374 (2020)

    Article  Google Scholar 

  50. Sarkar, B., Tayyab, M., Kim, N., Habib, M.S.: Optimal production delivery policies for supplier and manufacturer in a constrained closed-loop supply chain for returnable transport packaging through metaheuristic approach. Comp. Indust. Eng. 135, 987-1003 (2019)

    Article  Google Scholar 

  51. Ahmed, W., Sarkar, B.: Management of next-generation energy using a triple bottom line approach under a supply chain framework. Resour. Conserv. Recyc. 50, 104431 (2019)

    Article  Google Scholar 

  52. Jana, C., Senapati, T., Pal, M., Yager, R.R.: Picture fuzzy Dombi aggregation operators: applications to MADM process. Appl. Soft Comput. 74, 99–109 (2019)

    Article  Google Scholar 

  53. Jana, C., Pal, M.: A dynamic hybrid method to design decision making process based on GRA approach for multiple attributes problem. Eng. Appl. Artif. Intell. 100, 104203 (2021)

    Article  Google Scholar 

  54. Jana, C., Muhiuddin, G., Pal, M.: Multi-criteria decision making approach based on SVTrN Dombi aggregation functions. Artif. Intell. Rev. 54(5), 3685–3723 (2021)

    Article  Google Scholar 

  55. Jana, C., Garg, H., Pal, M.: Multiple attribute decision making for power Dombi operators under Pythagorean fuzzy information with MABAC method. J. Ambient Intell. Humaniz. Comput. 14, 10761–10778 (2021)

    Article  Google Scholar 

  56. Suman, N., Saini, N., Gandotra, N., Kumar, R.: Multi criteria decision making under fuzzy, intuitionistic and interval-valued intuitionistic fuzzy environment: a review. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-7961-5_74

  57. Suman, N., Gandotra, N.: Selection of best investment company with the utilization of novel multi criteria decision making technique using TOPSIS approach under Pythagorean fuzzy environment. Mater. Today Proc. (2021). https://doi.org/10.1016/j.matpr.2021.03.345

    Article  Google Scholar 

  58. Suman, N., Gandotra, N.: Use of (R, S)-Norm concept and TOPSIS approach under picture fuzzy environment for application in multi criteria decision making issues. Mater. Today Proc. (2021). https://doi.org/10.1016/j.matpr.2021.03.307

    Article  Google Scholar 

  59. Kumar, R., Gandotra, N., Suman, N.: A novel Pythagorean fuzzy entropy measure using MCDM application in preference of the advertising company with TOPSIS approach. Mater. Today Proc. 80(3), 1742–1746 (2021)

    Google Scholar 

Download references

Acknowledgements

We would like to thank the anonymous Editors and Reviewers for their insightful and constructive comments and suggestions that have been helpful for providing a better version of the present work.

Funding

There is no funding of this research.

Author information

Authors and Affiliations

  1. Faculty of Science, Beijing University of Technology, Beijing, 100022, China

    Muhammad Azam & Shilin Yang

  2. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, 721102, India

    Madhumangal Pal

  3. Department of Mathematics, Khushal Khan Khattak University Karak, 27200, Karak, Khyber Pakhtunkhwa, Pakistan

    Muhammad Sajjad Ali Khan

  4. Faculty of Science and Technology, University of the Faroe Islands, Tórshavn, Faroe Islands

    Qin Xin

  5. Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Korea

    Biswajit Sarkar

  6. Center for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamil Nadu 600077, Chennai, India

    Biswajit Sarkar

  7. Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei City 106344, Taiwan, ROC

    Biswajit Sarkar

  8. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, India

    Chiranjibe Jana

Authors
  1. Muhammad Azam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chiranjibe Jana
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Muhammad Sajjad Ali Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Madhumangal Pal
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qin Xin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shilin Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Biswajit Sarkar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Biswajit Sarkar.

Ethics declarations

Conflict of interest

There is no conflict of interest between the authors and the institute where the work has been carried out.

Ethical Approval

The article does not contain any studies with human participants or animals performed by any of the authors.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Azam, M., Jana, C., Khan, M.S.A. et al. Multi-criteria Radio Frequency Identification Approach for Manufacturing Company Selection Based on Partitioned Maclaurin Symmetric Mean Operators Under Complex Intuitionistic Fuzzy Set Environment. Int. J. Fuzzy Syst. (2024). https://doi.org/10.1007/s40815-023-01583-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40815-023-01583-1

Keywords

Search

Navigation