[1] Chen, L., Hendalianpour, A., Feylizadeh, M. R., & Xu, H. (2023). Factors affecting the use of blockchain technology in humanitarian supply chain: a novel fuzzy large-scale group-DEMATEL. Group decision and negotiation, 32(2), 359–394. DOI:10.1007/s10726-022-09811-z
[2] Awang, A., Ghani, A. T. A., Abdullah, L., & Ahmad, M. F. (2018). The shapley weighting vector-based neutrosophic aggregation operator in dematel method. Journal of physics: conference series (Vol. 1132, p. 12059). IOP Publishing. DOI: 10.1088/1742-6596/1132/1/012059
[3] Haleem, A., Khan, M. I., & Khan, S. (2020). Halal certification, the inadequacy of its adoption, modelling and strategising the efforts. Journal of islamic marketing, 11(2), 393–413. DOI:10.1108/JIMA-05-2017-0062
[4] Falatoonitoosi, E., Leman, Z., Sorooshian, S., & Salimi, M. (2013). Decision-making trial and evaluation laboratory. Research journal of applied sciences, engineering and technology, 5(13), 3476–3480. DOI:10.19026/rjaset.5.4475
[5] Awang, A., Ghani, A. T. A., Abdullah, L., & Ahmad, M. F. (2018). A dematel method with single valued neutrosophic set (SVNS) in identifying the key contribution factors of setiu wetland’s coastal erosion. AIP conference proceedings (Vol. 1974). AIP Publishing. DOI: 10.1063/1.5041542
[6] Khan, S., Khan, M. I., & Haleem, A. (2019). Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach. Journal of modelling in management, 14(1), 153–174. DOI:10.1108/JM2-03-2018-0031
[7] Abdullah, L., & Goh, P. (2019). Decision making method based on Pythagorean fuzzy sets and its application to solid waste management. Complex and intelligent systems, 5(2), 185–198. DOI:10.1007/s40747-019-0100-9
[8] Abdullah, L., Ong, Z., & Mohd Mahali, S. (2021). Single-valued neutrosophic DEMATEL for segregating types of criteria: a case of subcontractors’ selection. Journal of mathematics, 2021, 1–12. DOI:10.1155/2021/6636029
[9] Smarandache, F. (2006). Neutrosophic set-a generalization of the intuitionistic fuzzy set. 2006 IEEE international conference on granular computing (pp. 38–42). IEEE. DOI: 10.1109/grc.2006.1635754
[10] Smarandache, F. (2016). Degree of dependence and independence of the (sub) components of fuzzy set and neutrosophic set. Neutrosophic sets and systems, 11(6), 95–97.
[11] Radha, R., Mary, A. S. A., Prema, R., & Broumi, S. (2021). Neutrosophic pythagorean sets with dependent neutrosophic pythagorean components and its improved correlation coefficients. Neutrosophic sets and systems, 46, 77–86. https://digitalrepository.unm.edu/cgi/viewcontent.cgi?article=1939&context=nss_journal
[12] Ajay, D., & Chellamani, P. (2020). Pythagorean neutrosophic fuzzy graphs. International journal of neutrosophic science, 11(2), 108–114. DOI:10.54216/IJNS.0110205
[13] Radha, R., & Stanis Arul Mary, A. (2021). Neutrosophic pythagorean soft set with T and F as dependent neutrosophic components. Neutrosophic sets and systems, 42, 65–78. DOI:10.5281/zenodo.4711505
[14] Prema, R., & Radha, R. (2022). Generalized neutrosophic pythagorean set. International research journal of modernization in engineering technology and science, 11, 1571–1575. DOI:10.56726/irjmets31596
[15] Ajay, D., Chellamani, P., Rajchakit, G., Boonsatit, N., & Hammachukiattikul, P. (2022). Regularity of pythagorean neutrosophic graphs with an illustration in MCDM. AIMS mathematics, 7(5), 9424–9442. DOI:10.3934/math.2022523
[16] Jansi, R., & Mohana, K. (2020). Pairwise pythagorean neutrosophic strongly irresolvable spaces (with dependent neutrosophic components between T and F). International journal of neutrosophic science, 12(1), 50–57. https://www.americaspg.com/article/pdf/630
[17] Ismail, J. N., Rodzi, Z., Al-Sharqi, F., Hashim, H., & Sulaiman, N. H. (2023). The integrated novel framework: linguistic variables in pythagorean neutrosophic set with DEMATEL for enhanced decision support. International journal of neutrosophic science, 21(2), 129–141. DOI:10.54216/IJNS.210212
[18] Bonferroni, C. (1950). Sulle medie multiple di potenze. Bollettino dell’Unione matematica italiana, 5(3–4), 267–270.
[19] Md. Rodzi, Z., Mohd Amin, F. A., Muhamad Khair, M. H., & Wannasupchue, W. (2023). Exploring barriers to adoption of halal certification among restaurant owners in Seremban, Malaysia. Environment-behaviour proceedings journal, 8(SI14), 3–8. DOI:10.21834/e-bpj.v8isi14.5046
[20] Tian, Z. P., Wang, J., Zhang, H. Y., Chen, X. H., & Wang, J. Q. (2016). Simplified neutrosophic linguistic normalizedweighted bonferroni mean operator and its application to multi-criteria decision-making problems. Filomat, 30(12), 3339–3360. DOI:10.2298/FIL1612339T
[21] Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE transactions on systems, man and cybernetics, 18(1), 183–190. DOI:10.1109/21.87068
[22] Zhou, W., & He, J. M. (2012). Intuitionistic fuzzy normalized weighted bonferroni mean and its application in multicriteria decision making. Journal of applied mathematics, 2012. DOI:10.1155/2012/136254
[23] Yager, R. R. (2014). Pythagorean membership grades in multicriteria decision making. IEEE transactions on fuzzy systems, 22(4), 958–965. DOI:10.1109/TFUZZ.2013.2278989
[24] Wang, H., Smarandache, F., Sunderraman, R., & Zhang, Y.-Q. (2010). Single valued neutrosophic sets. Multispace and multistructure, 4(October), 410–413.
[25] Ismail, J. N., Rodzi, Z., Al-Sharqi, F., Al-Quran,A., Hashim, H., & Sulaiman, N. H. (2023). Algebraic operations on pythagorean neutrosophic sets (PNS): extending applicability and decision-making capabilities. International journal of neutrosophic science, 21(4), 127-134. DOI:10.54216/IJNS.210412
[26] Al-Sharqi, F., Al-Quran, A., & Romdhini, M. U. (2023). Decision-making techniques based on similarity measures of possibility interval fuzzy soft environment. Iraqi journal for computer science and mathematics, 4(4), 18–29. DOI:10.52866/ijcsm.2023.04.04.003
[27] Al-Quran, A., Al-Sharqi, F., Ullah, K., Romdhini, M. U., Balti, M., & Alomair, M. (2023). Bipolar fuzzy hypersoft set and its application in decision making. International journal of neutrosophic science, 20(4), 65–77. DOI:10.54216/IJNS.200405
[28] Md Rodzi, Z. Bin, Mohd Amın, F. A., Jamiatun, N., Qaiyyum, A., Al-Sharqi, F., Zaharudin, Z. A., & Khair, M. H. M. (2023). Integrated single-valued neutrosophic normalized weighted bonferroni mean (SVNNWBM)-DEMATEL for analyzing the key barriers to halal certification adoption in Malaysia. International journal of neutrosophic science, 21(3), 106–114. DOI:10.54216/IJNS.210310
[29] Al-Sharqi, F., Al-Qudah, Y., & Alotaibi, N. (2023). Decision-making techniques based on similarity measures of possibility neutrosophic soft expert sets. Neutrosophic sets and systems, 55(1), 22. https://digitalrepository.unm.edu/cgi/viewcontent.cgi?article=2300&context=nss_journal
[30] Romdhini, M. U., Al-Sharqi, F., Nawawi, A., Al-Quran, A., & Rashmanlou, H. (2023). Signless laplacian energy of interval-valued fuzzy graph and its applications. Sains malaysiana, 52(7), 2127–2137. DOI:10.17576/jsm-2023-5207-18