Research Article
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Year 2024, Volume: 5 Issue: 2, 88 - 113, 31.12.2024
https://doi.org/10.54559/jauist.1588980

Abstract

References

  • J. Yan, P. E. Chaudhry, S. S. Chaudhry, A model of a decision support system based on case-based reasoning for third-party logistics evaluation, Expert Systems 20 (4) (2003) 196–207.
  • G. Işıklar, E. Alptekin, G. Büyüközkan, Application of a hybrid intelligent decision support model in logistics outsourcing, Computers & Operations Research 34 (12) (2007) 3701–3714.
  • E. Rabinovich, R. Windle, M. Dresner, T. Corsi, Outsourcing of integrated logistics functions: An examination of industry practices, International Journal of Physical Distribution and Logistics Management 29 (6) (1999) 353–374.
  • H. L. Sink, C. J. Langley Jr, A managerial framework for the acquisition of third-party logistics services, Journal of business logistics 18 (2) (1997) 163–189.
  • R. Bhatnagar, A. S. Sohal, R. Millen, Third party logistics services: A Singapore perspective, International Journal of Physical Distribution and Logistics Management 29 (9) (1999) 569–587.
  • S. Hertz, M. Alfredsson, Strategic development of third party logistics providers, Industrial Marketing Management 32 (2) (2003) 139–149.
  • T. Skjøtt-Larsen, Third party logistics–from an interorganizational point of view, International Journal of Physical Distribution and Logistics Management 30 (2) (2000) 112–127.
  • D. Andersson, A. Norrman, Procurement of logistics services—a minutes work or a multi-year project?, European Journal of Purchasing and Supply Management 8 (1) (2002) 3–14.
  • S. Jharkharia, R. Shankar, Selection of logistics service provider: An analytic network process (ANP) approach, Omega 35 (3) (2007) 274–289.
  • R. Wilding, R. Juriado, Customer perceptions on logistics outsourcing in the European consumer goods industry International Journal of Physical Distribution and Logistics Management 34 (8) (2004) 628–644.
  • L. A. Zadeh, Fuzzy sets, Information and Control 8 (3) (1965) 338–353.
  • K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Systems 20 (1) (1986) 87–96.
  • F. Smarandache, A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic, American Research Press, Rehoboth, 1999.
  • H. Wang, F. Smarandache, Y. Zhang, R. Sunderraman, Single valued neutrosophic sets, in: F. Smarandache (Ed.), Vol. 4 of Multispace and Multistructure. Neutrosophic Transdisciplinarity (100 Collected Papers of Sciences), North-European Scientific Publishers, Hanko, 2010.
  • B. Li, J. Wang, L. Yang, X. Li, A novel generalized simplified neutrosophic number Einstein aggregation operator, IAENG International Journal of Applied Mathematics 48 (1) (2018) 1–10.
  • P. Liu. The aggregation operators based on Archimedean t-conorm and t-norm for single-valued neutrosophic numbers and their application to decision making, International Journal of Fuzzy Systems 18 (5) (2016) 849–863.
  • P. Ji, J.Q. Wang, H. Y. Zhang, Frank prioritized Bonferroni mean operator with single-valued neutrosophic sets and its application in selecting third-party logistics providers, Neural Computing and Applications 30 (2018) 799–823.
  • H. Garg, Novel single-valued neutrosophic aggregated operators under Frank norm operation and its application to decision-making process, International Journal for Uncertainty Quantification 6 (4) (2016) 361–375.
  • P. Biswas, S. Pramanik, B. C. Giri. A new methodology for neutrosophic multi-attribute decision making with unknown weight information, Neutrosophic Sets and Systems 3 (2014) 42–52.
  • P. Biswas, S. Pramanik, B. C. Giri, TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment, Neural Computing and Applications 27 (2016) 727–737.
  • H. Y. Zhang, P. Ji, J. Q. Wang, X. H. Chen, A neutrosophic normal cloud and its application in decision-making, Cognitive Computation 8 (2016) 649–669.
  • Z. Lu, J. Ye, Single-valued neutrosophic hybrid arithmetic and geometric aggregation operators and their decision-making method Information 8 (3) (2017) 84.
  • Z. Başer, V. Uluçay, Effective Q-Neutrosophic Soft Expert Sets and Its Application in Decision Making, in: Florentin Smarandache, Derya Bakbak, Vakkas Uluçay, Abdullah Kargın, Merve Şahin (Eds.), Algebraic Structures In the Universe of Neutrosophic: Analysis with Innovative Algorithmic Approaches, Biblio Publishing, Ohio, 2024, Ch. 8, pp. 147–170.
  • Z. Başer, V. Uluçay, Energy of a neutrosophic soft set and its applications to multi-criteria decision-making problems, Neutrosophic Sets and Systems 79 (2024) 479–492.
  • V. Uluçay, İ. Deli, TOPSIS-Based Entropy Measure for N-Valued Neutrosophic Trapezoidal Numbers and Their Application to Multi-Criteria Decision-Making Problems, in: S. Edalatpanah, F. Hosseinzadeh Lotfi, K. Kerstens, P. Wanke (Eds.), Analytical Decision Making and Data Envelopment Analysis. Infosys Science Foundation Series, Springer, Singapore, 2024, pp. 433–454.
  • V. Uluçay, İ. Deli, S. A. Edalatpanah. Prioritized Aggregation Operators of GTHFNs MADM Approach for the Evaluation of Renewable Energy Sources, Informatica 35 (4) (2024) 859–882.
  • V. Uluçay, İ. Deli, Vikor method based on the entropy measure for generalized trapezoidal hesitant fuzzy numbers and its application, Soft Computing (In Press).
  • İ. Deli, V. Uluçay, Y. Polat, N-valued neutrosophic trapezoidal numbers with similarity measures and application to multi-criteria decision-making problems, Journal of Ambient Intelligence and Humanized Computing 13 (2022) 4493–4518.
  • L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning—I, Information Sciences 8 (3) (1975) 199–249.
  • Y. Y. Li, H. Zhang, J. Q. Wang, Linguistic neutrosophic sets and their application in multicriteria decision-making problems, International Journal for Uncertainty Quantification 7 (2) (2017) 135–154.
  • X. J. Gou, H. C. Liao, Z. S. Xu, F. Herrera, Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures, Information Fusion 38 (2017) 22–34.
  • X. J. Gou, H. C. Liao, Z. S. Xu, F. Herrera, Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment, Computers and Industrial Engineering 126 (2018) 516–530.
  • X. Li, Z. Xu, H. Wang, Three-way decisions based on some Hamacher aggregation operators under double hierarchy linguistic environment, International Journal of Intelligent Systems 36 (12) (2021) 7731–7753.
  • S. Abdullah, A. O. Almagrabi, I. Ullah, A new approach to artificial intelligence-based three-way decision making and analyzing S-Box image encryption using TOPSIS method, Mathematics 11 (6) (2023) 1559.
  • W. K. Brauers, E. K. Zavadskas, The MOORA method and its application to privatization in a transition economy, Control and Cybernetics 35 (2) (2006) 445–469.
  • W. K. M. Brauers, E. K. Zavadskas, Project management by MULTIMOORA as an instrument for transition economies, Technological and Economic Development of Economy 16 (2010) 5–24.
  • W. K. Brauers, A. Baleˇzentis, T. Baleˇzentis, MULTIMOORA for the EU member states updated, Technological and Economic Development of Economy 17 (2) (2011) 259–290.
  • A. Hafezalkotob, A. Hafezalkotob, H. Liao, F. Herrera, An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges, Information Fusion 51 (2019) 145–177.
  • Ö. Alkan, Ö. K. Albayrak, Ranking of renewable energy sources for regions in Turkey by fuzzy entropy-based fuzzy COPRAS and fuzzy MULTIMOORA, Renewable Energy 162 (2020) 712–726.
  • W. Liang, G. Zhao, C. Hong, Selecting the optimal mining method with extended multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) approach, Neural Computing and Applications 31 (2019) 5871–5886.
  • R. Fattahi, M. Khalilzadeh, Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment, Safety Science 102 (2018) 290–300.
  • J. H. Dahooie, E. K. Zavadskas, H. R. Firoozfar, A. S. Vanaki, N. Mohammadi, W. K. M. Brauers, An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection, Engineering Applications of Artificial Intelligence 79 (2019) 114–128.
  • C. Zhang, C. Chen, D. Streimikiene, T. Balezentis, Intuitionistic fuzzy MULTIMOORA approach for multi-criteria assessment of the energy storage technologies, Applied Soft Computing 79 (2019) 410–423.
  • H. Garg, D. Rani, An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques, Applied Intelligence 52 (2022) 4330–4363.
  • X. Chen, L. Zhao, H. Liang, A novel multi-attribute group decision-making method based on the MULTIMOORA with linguistic evaluations, Soft Computing 22 (2018) 5347–5361.
  • H. Zhang, Linguistic intuitionistic fuzzy sets and application in MAGDM, Journal of Applied Mathematics 2014 (2014) 32092.
  • A. Balezentis, T. Balezentis, An innovative multi-criteria supplier selection based on two-tuple MULTIMOORA and hybrid data, Economic Computation and Economic Cybernetics Studies and Research 45 (2) (2011) 37–56.
  • G. W. Wei, 2-tuple intuitionistic fuzzy linguistic aggregation operators in multiple attribute decision making, Iranian Journal of Fuzzy Systems 16 (4) (2019) 159–174.
  • M. Akram, A. Khan, U. Ahmad, Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making, Granular Computing 8 (2) (2023) 311–332.
  • H. Garg, Nancy, Linguistic single-valued neutrosophic prioritized aggregation operators and their applications to multiple-attribute group decision-making, Journal of Ambient Intelligence and Humanized Computing 9 (2018) 1975–1997.
  • W. Liang, G. Zhao, H. Wu, Evaluating investment risks of metallic mines using an extended TOPSIS method with linguistic neutrosophic numbers, Symmetry 9 (8) (2017) 149.
  • R. Tan, W. Zhang, S. Chen, Some generalized single-valued neutrosophic linguistic operators and their application to multiple attribute group decision making, Journal of Systems Science and Information 5 (2) (2017) 148–162.
  • J. Ye, An extended TOPSIS method for multiple attribute group decision making based on single-valued neutrosophic linguistic numbers, Journal of Intelligent and Fuzzy Systems 28 (1) (2015) 247–255.
  • H. Garg, A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making, International Journal of Intelligent Systems 31 (9) (2016) 886–920.

Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set

Year 2024, Volume: 5 Issue: 2, 88 - 113, 31.12.2024
https://doi.org/10.54559/jauist.1588980

Abstract

The demand for third-party logistics (3PL) providers becomes an increasingly important issue for corporations seeking improved customer service and cost reduction. Currently, there is no way to select the appropriate method for selecting 3PL. Therefore, this paper develops a new extended multi-objective optimization ratio analysis plus full multiplicative form (MULTIMOORA) method under double hierarchy linguistic single-valued neutrosophic sets (DHLSVNSs). For this, we first develop a new mathematical tool, i.e., DHLSVNSs, by studying single-valued neutrosophic set (SVN) and double hierarchy linguistic term set (DHLTSs), which is very effective for solving uncertainty in decision-making problems. A list of Einstein aggregation operators and their fundamental aspects for DHLSVNSs are presented based on Einstein's norms, as aggregation operators play an essential role in decision-making. A step-by-step algorithm of the Extended DHLSVN-MULTIMOORA approach is designed to tackle ambiguous and uncertain data during decision-making problems. The algorithm developed for the suggested technique is illustrated with a numerical example relevant to 3PL. A comparison of the proposed methods with various existing methodologies is carried out to demonstrate the superiority of the suggested algorithms.

Ethical Statement

No approval from the Board of Ethics is required.

References

  • J. Yan, P. E. Chaudhry, S. S. Chaudhry, A model of a decision support system based on case-based reasoning for third-party logistics evaluation, Expert Systems 20 (4) (2003) 196–207.
  • G. Işıklar, E. Alptekin, G. Büyüközkan, Application of a hybrid intelligent decision support model in logistics outsourcing, Computers & Operations Research 34 (12) (2007) 3701–3714.
  • E. Rabinovich, R. Windle, M. Dresner, T. Corsi, Outsourcing of integrated logistics functions: An examination of industry practices, International Journal of Physical Distribution and Logistics Management 29 (6) (1999) 353–374.
  • H. L. Sink, C. J. Langley Jr, A managerial framework for the acquisition of third-party logistics services, Journal of business logistics 18 (2) (1997) 163–189.
  • R. Bhatnagar, A. S. Sohal, R. Millen, Third party logistics services: A Singapore perspective, International Journal of Physical Distribution and Logistics Management 29 (9) (1999) 569–587.
  • S. Hertz, M. Alfredsson, Strategic development of third party logistics providers, Industrial Marketing Management 32 (2) (2003) 139–149.
  • T. Skjøtt-Larsen, Third party logistics–from an interorganizational point of view, International Journal of Physical Distribution and Logistics Management 30 (2) (2000) 112–127.
  • D. Andersson, A. Norrman, Procurement of logistics services—a minutes work or a multi-year project?, European Journal of Purchasing and Supply Management 8 (1) (2002) 3–14.
  • S. Jharkharia, R. Shankar, Selection of logistics service provider: An analytic network process (ANP) approach, Omega 35 (3) (2007) 274–289.
  • R. Wilding, R. Juriado, Customer perceptions on logistics outsourcing in the European consumer goods industry International Journal of Physical Distribution and Logistics Management 34 (8) (2004) 628–644.
  • L. A. Zadeh, Fuzzy sets, Information and Control 8 (3) (1965) 338–353.
  • K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Systems 20 (1) (1986) 87–96.
  • F. Smarandache, A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic, American Research Press, Rehoboth, 1999.
  • H. Wang, F. Smarandache, Y. Zhang, R. Sunderraman, Single valued neutrosophic sets, in: F. Smarandache (Ed.), Vol. 4 of Multispace and Multistructure. Neutrosophic Transdisciplinarity (100 Collected Papers of Sciences), North-European Scientific Publishers, Hanko, 2010.
  • B. Li, J. Wang, L. Yang, X. Li, A novel generalized simplified neutrosophic number Einstein aggregation operator, IAENG International Journal of Applied Mathematics 48 (1) (2018) 1–10.
  • P. Liu. The aggregation operators based on Archimedean t-conorm and t-norm for single-valued neutrosophic numbers and their application to decision making, International Journal of Fuzzy Systems 18 (5) (2016) 849–863.
  • P. Ji, J.Q. Wang, H. Y. Zhang, Frank prioritized Bonferroni mean operator with single-valued neutrosophic sets and its application in selecting third-party logistics providers, Neural Computing and Applications 30 (2018) 799–823.
  • H. Garg, Novel single-valued neutrosophic aggregated operators under Frank norm operation and its application to decision-making process, International Journal for Uncertainty Quantification 6 (4) (2016) 361–375.
  • P. Biswas, S. Pramanik, B. C. Giri. A new methodology for neutrosophic multi-attribute decision making with unknown weight information, Neutrosophic Sets and Systems 3 (2014) 42–52.
  • P. Biswas, S. Pramanik, B. C. Giri, TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment, Neural Computing and Applications 27 (2016) 727–737.
  • H. Y. Zhang, P. Ji, J. Q. Wang, X. H. Chen, A neutrosophic normal cloud and its application in decision-making, Cognitive Computation 8 (2016) 649–669.
  • Z. Lu, J. Ye, Single-valued neutrosophic hybrid arithmetic and geometric aggregation operators and their decision-making method Information 8 (3) (2017) 84.
  • Z. Başer, V. Uluçay, Effective Q-Neutrosophic Soft Expert Sets and Its Application in Decision Making, in: Florentin Smarandache, Derya Bakbak, Vakkas Uluçay, Abdullah Kargın, Merve Şahin (Eds.), Algebraic Structures In the Universe of Neutrosophic: Analysis with Innovative Algorithmic Approaches, Biblio Publishing, Ohio, 2024, Ch. 8, pp. 147–170.
  • Z. Başer, V. Uluçay, Energy of a neutrosophic soft set and its applications to multi-criteria decision-making problems, Neutrosophic Sets and Systems 79 (2024) 479–492.
  • V. Uluçay, İ. Deli, TOPSIS-Based Entropy Measure for N-Valued Neutrosophic Trapezoidal Numbers and Their Application to Multi-Criteria Decision-Making Problems, in: S. Edalatpanah, F. Hosseinzadeh Lotfi, K. Kerstens, P. Wanke (Eds.), Analytical Decision Making and Data Envelopment Analysis. Infosys Science Foundation Series, Springer, Singapore, 2024, pp. 433–454.
  • V. Uluçay, İ. Deli, S. A. Edalatpanah. Prioritized Aggregation Operators of GTHFNs MADM Approach for the Evaluation of Renewable Energy Sources, Informatica 35 (4) (2024) 859–882.
  • V. Uluçay, İ. Deli, Vikor method based on the entropy measure for generalized trapezoidal hesitant fuzzy numbers and its application, Soft Computing (In Press).
  • İ. Deli, V. Uluçay, Y. Polat, N-valued neutrosophic trapezoidal numbers with similarity measures and application to multi-criteria decision-making problems, Journal of Ambient Intelligence and Humanized Computing 13 (2022) 4493–4518.
  • L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning—I, Information Sciences 8 (3) (1975) 199–249.
  • Y. Y. Li, H. Zhang, J. Q. Wang, Linguistic neutrosophic sets and their application in multicriteria decision-making problems, International Journal for Uncertainty Quantification 7 (2) (2017) 135–154.
  • X. J. Gou, H. C. Liao, Z. S. Xu, F. Herrera, Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures, Information Fusion 38 (2017) 22–34.
  • X. J. Gou, H. C. Liao, Z. S. Xu, F. Herrera, Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment, Computers and Industrial Engineering 126 (2018) 516–530.
  • X. Li, Z. Xu, H. Wang, Three-way decisions based on some Hamacher aggregation operators under double hierarchy linguistic environment, International Journal of Intelligent Systems 36 (12) (2021) 7731–7753.
  • S. Abdullah, A. O. Almagrabi, I. Ullah, A new approach to artificial intelligence-based three-way decision making and analyzing S-Box image encryption using TOPSIS method, Mathematics 11 (6) (2023) 1559.
  • W. K. Brauers, E. K. Zavadskas, The MOORA method and its application to privatization in a transition economy, Control and Cybernetics 35 (2) (2006) 445–469.
  • W. K. M. Brauers, E. K. Zavadskas, Project management by MULTIMOORA as an instrument for transition economies, Technological and Economic Development of Economy 16 (2010) 5–24.
  • W. K. Brauers, A. Baleˇzentis, T. Baleˇzentis, MULTIMOORA for the EU member states updated, Technological and Economic Development of Economy 17 (2) (2011) 259–290.
  • A. Hafezalkotob, A. Hafezalkotob, H. Liao, F. Herrera, An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges, Information Fusion 51 (2019) 145–177.
  • Ö. Alkan, Ö. K. Albayrak, Ranking of renewable energy sources for regions in Turkey by fuzzy entropy-based fuzzy COPRAS and fuzzy MULTIMOORA, Renewable Energy 162 (2020) 712–726.
  • W. Liang, G. Zhao, C. Hong, Selecting the optimal mining method with extended multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) approach, Neural Computing and Applications 31 (2019) 5871–5886.
  • R. Fattahi, M. Khalilzadeh, Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment, Safety Science 102 (2018) 290–300.
  • J. H. Dahooie, E. K. Zavadskas, H. R. Firoozfar, A. S. Vanaki, N. Mohammadi, W. K. M. Brauers, An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection, Engineering Applications of Artificial Intelligence 79 (2019) 114–128.
  • C. Zhang, C. Chen, D. Streimikiene, T. Balezentis, Intuitionistic fuzzy MULTIMOORA approach for multi-criteria assessment of the energy storage technologies, Applied Soft Computing 79 (2019) 410–423.
  • H. Garg, D. Rani, An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques, Applied Intelligence 52 (2022) 4330–4363.
  • X. Chen, L. Zhao, H. Liang, A novel multi-attribute group decision-making method based on the MULTIMOORA with linguistic evaluations, Soft Computing 22 (2018) 5347–5361.
  • H. Zhang, Linguistic intuitionistic fuzzy sets and application in MAGDM, Journal of Applied Mathematics 2014 (2014) 32092.
  • A. Balezentis, T. Balezentis, An innovative multi-criteria supplier selection based on two-tuple MULTIMOORA and hybrid data, Economic Computation and Economic Cybernetics Studies and Research 45 (2) (2011) 37–56.
  • G. W. Wei, 2-tuple intuitionistic fuzzy linguistic aggregation operators in multiple attribute decision making, Iranian Journal of Fuzzy Systems 16 (4) (2019) 159–174.
  • M. Akram, A. Khan, U. Ahmad, Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making, Granular Computing 8 (2) (2023) 311–332.
  • H. Garg, Nancy, Linguistic single-valued neutrosophic prioritized aggregation operators and their applications to multiple-attribute group decision-making, Journal of Ambient Intelligence and Humanized Computing 9 (2018) 1975–1997.
  • W. Liang, G. Zhao, H. Wu, Evaluating investment risks of metallic mines using an extended TOPSIS method with linguistic neutrosophic numbers, Symmetry 9 (8) (2017) 149.
  • R. Tan, W. Zhang, S. Chen, Some generalized single-valued neutrosophic linguistic operators and their application to multiple attribute group decision making, Journal of Systems Science and Information 5 (2) (2017) 148–162.
  • J. Ye, An extended TOPSIS method for multiple attribute group decision making based on single-valued neutrosophic linguistic numbers, Journal of Intelligent and Fuzzy Systems 28 (1) (2015) 247–255.
  • H. Garg, A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making, International Journal of Intelligent Systems 31 (9) (2016) 886–920.
There are 54 citations in total.

Details

Primary Language English
Subjects Numerical Computation and Mathematical Software
Journal Section Research Articles
Authors

Abbas Qadir 0000-0003-4245-7415

Muhammad Ali Khan This is me 0000-0001-5932-1835

Marya Nawaz This is me 0009-0009-5074-7683

Early Pub Date December 30, 2024
Publication Date December 31, 2024
Submission Date November 23, 2024
Acceptance Date December 24, 2024
Published in Issue Year 2024 Volume: 5 Issue: 2

Cite

APA Qadir, A., Ali Khan, M., & Nawaz, M. (2024). Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set. Journal of Amasya University the Institute of Sciences and Technology, 5(2), 88-113. https://doi.org/10.54559/jauist.1588980
AMA Qadir A, Ali Khan M, Nawaz M. Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set. J. Amasya Univ. Inst. Sci. Technol. December 2024;5(2):88-113. doi:10.54559/jauist.1588980
Chicago Qadir, Abbas, Muhammad Ali Khan, and Marya Nawaz. “Selection of Third-Party Logistics Provider Based on Extended Multimoora Technique under Double Hierarchy Linguistic Single-Valued Neutrosophic Set”. Journal of Amasya University the Institute of Sciences and Technology 5, no. 2 (December 2024): 88-113. https://doi.org/10.54559/jauist.1588980.
EndNote Qadir A, Ali Khan M, Nawaz M (December 1, 2024) Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set. Journal of Amasya University the Institute of Sciences and Technology 5 2 88–113.
IEEE A. Qadir, M. Ali Khan, and M. Nawaz, “Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set”, J. Amasya Univ. Inst. Sci. Technol., vol. 5, no. 2, pp. 88–113, 2024, doi: 10.54559/jauist.1588980.
ISNAD Qadir, Abbas et al. “Selection of Third-Party Logistics Provider Based on Extended Multimoora Technique under Double Hierarchy Linguistic Single-Valued Neutrosophic Set”. Journal of Amasya University the Institute of Sciences and Technology 5/2 (December 2024), 88-113. https://doi.org/10.54559/jauist.1588980.
JAMA Qadir A, Ali Khan M, Nawaz M. Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set. J. Amasya Univ. Inst. Sci. Technol. 2024;5:88–113.
MLA Qadir, Abbas et al. “Selection of Third-Party Logistics Provider Based on Extended Multimoora Technique under Double Hierarchy Linguistic Single-Valued Neutrosophic Set”. Journal of Amasya University the Institute of Sciences and Technology, vol. 5, no. 2, 2024, pp. 88-113, doi:10.54559/jauist.1588980.
Vancouver Qadir A, Ali Khan M, Nawaz M. Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set. J. Amasya Univ. Inst. Sci. Technol. 2024;5(2):88-113.