Hedayat Mazhari, R., Khoramabadi, M., & Lashgar Ara, S. (2021). Assessing efficiency using data envelopment analysis method and its relation to financial ratios. Financial accounting research, 13(3), 89–110. DOI:10.22108/far.2022.129532.1785
 Fridson, M. S., & Alvarez, F. (2022). Financial statement analysis: a practitioner’s guide. John Wiley & Sons.
 Bojadziev, G., & Bojadziev, M. (1995). Fuzzy sets, fuzzy logic, applications (Vol. 5). World scientific.
 Zadeh, L. A. (1968). Fuzzy algorithms. Information and control, 12(2), 94–102.
 Ertuugrul, Í., & Karakacsouglu, N. (2007). Fuzzy topsis method for academic member selection in engineering faculty [presentation]. Innovations in e-learning, instruction technology, assessment, and engineering education (pp. 151–156).
 Tavakkoli, M., Jamali, A., & Ebrahimi, A. (2010). new method to evaluate financial performance of companies by fuzzy logic: case study, drug industry of Iran. Asia pacific journal of finance & banking research, 4(4), 15–24.
 McIvor, R. T., McCloskey, A. G., Humphreys, P. K., & Maguire, L. P. (2004). Using a fuzzy approach to support financial analysis in the corporate acquisition process. Expert systems with applications, 27(4), 533–547.
 Chen, L.-H., & Chiou, T.-W. (1999). A fuzzy credit-rating approach for commercial loans: a Taiwan case. Omega, 27(4), 407–419.
 Kumar, P. R., & Ravi, V. (2007). Bankruptcy prediction in banks and firms via statistical and intelligent techniques--A review. European journal of operational research, 180(1), 1–28.
 Rakicevic, A., Dobric, V., & Radojevic, D. (2010). Selection of equity securities with logical aggregation. In Computational intelligence: foundations and applications (pp. 603–609). World Scientific. https://doi.org/10.1142/9789814324700_0091
 Fakhrhosseini, F., & Kaviani, M. (2023). Predicting operational profitability using Dupont analysis: insurance companies listed in the Tehran stock market. Scientific journal of budget and finance strategic research, 4(1), 111–134. https://fbarj.ihu.ac.ir/article_208060.html
 Nozohoor, N., & Kaviani, M. (2020). Analysis of the relationship between dupont ratio and dividend policy (tobit and logit regression analysis approach). Innovation management and operational strategies, 1(2), 114–125. DOI:10.22105/imos.2020.261602.1020
 Montazeri, Z., & Kaviani, M. (2018). Investigating the possibility of using the DuPont ratio in order to predict profitability and stock returns (case study: pharmaceutical industry of Tehran Stock Exchange). Journal of accounting and management vision, 1(1), 77–89. DOI:/JAMV.2018.1006
 Nazemi, J., Asgari, M. R., & Banijamali, S. A. (2012). Fuzzy expert system for financial ratio analysis (case study: cement industry). International journal of industrial engineering, 23(3), 363–374. https://www.sid.ir/paper/65427/en
 Rakićević, A., Milošević, P., Petrović, B., & Radojević, D. G. (2016). DuPont financial ratio analysis using logical aggregation [presentation]. Soft computing applications: proceedings of the 6th international workshop soft computing applications (sofa 2014), volume 2 (pp. 727–739). https://doi.org/10.1007/978-3-319-18416-6_57
 Shabani, H., Morina, F., & Berisha, A. (2021). Financial performance of the SMEs sector in Kosovo: an empirical analysis using the DuPont model. International journal of sustainable development and planning, 16, 819–831.
 Li, X. (2021). DuPont analysis on the financial capacity of midea and gree company [presentation]. 2021 3rd international conference on economic management and cultural industry (icemci 2021) (pp. 702–706).
 Hammer, P. L., Kogan, A., & Lejeune, M. A. (2012). A logical analysis of banks’ financial strength ratings. Expert systems with applications, 39(9), 7808–7821.
 Pourabdolahian Tehrani, R., Talebnia, G., & Asadnia, J. (2021). Evaluation and ranking of factors affecting the profitability of pharmaceutical companies listed on the Tehran Stock Exchange using a hybrid model of fuzzy hierarchical analysis process. Journal of investment knowledge, 10(38), 487–498. https://jik.srbiau.ac.ir/article_17536.html