[1] Smarandache, F. (2005). Neutrosophic set-a generalization of the intuitionistic fuzzy set. Interna- tional Journal of Pure and Applied Mathematics, 24(3), 287-297.
[2] Farnam, M., Shirdel, G. H., & Darehmiraki, M. (2024). An Integrated CODAS Method and Novel Surface-based Weighted Distance Measures under Neutrosophic Environment. Neutrosophic Sets and Systems, 68 (68), 198-222.
[3] Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
[4] Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets: theory and applications, Physica-Verlag, Heidelberg, 1-137.
[5] Zhang, H. W. F. S. Y., & Sunderraman, R. (2010). Single Valued Neutrosophic Sets. MULTISPACE & MULTISTRUCTURE. NEUTROSOPHIC TRANSDISCIPLINARITY, 410.
[6] Ye, J. (2015). Trapezoidal neutrosophic set and its application to multiple attribute decision-making. Neural Computing and Applications, 26(5), 1157-1166.
[7] Liang, R. X., Wang, J. Q., & Zhang, H. Y. (2018). A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information. Neural Computing and Applications, 30 (11), 3383-3398.
[8] Wu, X., Qian, J., Peng, J., & Xue, C. (2018). A multi-criteria group decision-making method with possibility degree and power aggregation operators of single trapezoidal neutrosophic numbers. Sym- metry, 10 (11), 590.
[9] Deli, I. (2018). Operators on single valued trapezoidal neutrosophic numbers and SVTN-group de- cision making. Neutrosophic Sets and Systems, 22, 131-151.
[10] Chakraborty, A., Mondal, S. P., Mahata, A., & Alam, S. (2021). Different linear and non-linear form of trapezoidal neutrosophic numbers, de-neutrosophication techniques and its application in time- cost optimization technique, sequencing problem. RAIRO-Operations Research, 55, S97-S118.
[11] Jana, C., Pal, M., Karaaslan, F., & Wang, J. Q. (2020). Trapezoidal neutrosophic aggregation op- erators and their application to the multi-attribute decision-making process. Scientia Iranica, 27 (3), 1655-1673.
[12] Liang, R. X., Wang, J. Q., & Li, L. (2018). Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information. Neural Computing and Applications, 30 (1), 241-260.
[13] Deli, I., & Ozturk, E. K. (2020). A defuzzification method on single-valued trapezoidal neutrosophic numbers and multiple attribute decision making. Cumhuriyet Science Journal, 41 (1), 22-37.
[14] Aal, S. I., Ellatif, M. A., & Hassan, M. M. (2018). Proposed Model for Evaluating Information Systems Quality Based on Single Valued Triangular Neutrosophic Numbers. International Journal of Mathematical Sciences and Computing, 4, 1-14.
[15] Abdel-Basset, M., Mohamed, M., & Sangaiah, A. K. (2018). Neutrosophic AHP-Delphi Group de- cision making model based on trapezoidal neutrosophic numbers. Journal of Ambient Intelligence and Humanized Computing, 9 (5), 1427-1443.
[16] Pramanik, S., & Mallick, R. (2018). VIKOR based MAGDM Strategy with Trapezoidal Neutro- sophic Numbers. Neutrosophic Sets and Systems, 22, 118-131.
[17] Biswas, P., Pramanik, S., & Giri, B. C. (2019). NonLinear programming approach for single-valued neutrosophic TOPSIS method. New Mathematics and Natural Computation, 15 (2), 307-326.
[18] Pramanik, S., & Mallick, R. (2019). TODIM strategy for multi-attribute group decision making in trapezoidal neutrosophic number environment. Complex & Intelligent Systems, 5 (4), 379-389.
[19] Bhat, S. A. (2023). An enhanced AHP group decision-making model employing neutrosophic trape- zoidal numbers. Journal of Operational and Strategic Analytics, 1 (2), 81-89.
[20] Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making. In- formatica, 29 (2), 265-280.
[21] Keshavarz-Ghorabaee, M., Govindan, K., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2019). An integrated type-2 fuzzy decision model based on WASPAS and SECA for evaluation of sustain- able manufacturing strategies. Journal of Environmental Engineering and Landscape Management, 27 (4), 187-200.
[22] Azbari, K. E., Ashofteh, P. S., Golfam, P., & Singh, V. P. (2021). Optimal wastewater allocation with the development of an SECA multi-criteria decision-making method. Journal of Cleaner Production, 321, 129041.
[23] Eghbali-Zarch, M., Zabihi, S. Z., & Masoud, S. (2023). A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection. Expert Systems with Applications, 231, 120653.
[24] Tian, H., Zhang, S., Garg, H., & Liu, X. (2024). An extended SECA-GDM method considering flex- ible linguistic scale optimization and its application in occupational health and safety risk assessment. Alexandria Engineering Journal, 88, 317-330.
[25] Farnam, M., Darehmiraki, M., & Behdani, Z. (2024). Neutrosophic data envelopment analysis based on parametric ranking method. Applied Soft Computing, 153, 111297
[26] Wang, C. N., Le, T. Q., Chang, K. H., & Dang, T. T. (2022). Measuring road transport sustainability using MCDM-based entropy objective weighting method. Symmetry, 14 (5), 1033.
[27] Lotfi, F. H., & Fallahnejad, R. (2010). Imprecise Shannon’s entropy and multi attribute decision making. Entropy, 12 (1), 53-62.
[28] Mukhametzyanov, I. (2021). Specific character of objective methods for determining weights of cri- teria in MCDM problems: Entropy, CRITIC and SD. Decision Making: Applications in Management and Engineering, 4 (2), 76-105.
[29] Shureshjani, R. A., & Darehmiraki, M. (2013). A new parametric method for ranking fuzzy numbers. Indagationes Mathematicae, 24 (3), 518-529.
[30] Abbasi Shureshjani, R., Shirdel, G. H., Farnam, M., & Darehmiraki, M. (2024). Parametric distance measure for trapezoidal intuitionistic fuzzy numbers and application in Multi-criteria group decision- making. Mathematics and Computational Sciences, 5 (4), 61-84.
[31] Mallick, R., & Pramanik, S. (2021). TrNN-EDAS strategy for MADM with entropy weight under trapezoidal neutrosophic number environment. In Neutrosophic Operational Research: Methods and Applications, Springer, Cham, 575-592.
[32] Ye, J. (2017). Some weighted aggregation operators of trapezoidal neutrosophic numbers and their multiple attribute decision making method. Informatica, 28 (2), 387-402.
[33] Deli, I., & Subas, Y. (2017). A ranking method of single valued neutrosophic numbers and its appli- cations to multi-attribute decision making problems. International Journal of Machine Learning and Cybernetics, 8 (4), 1309-1322.
