توسعه یک چارچوب مدل‌سازی سرمایه‌گذاری مبتنی بر ادغام الگوهای کندل‌استیک ژاپنی و منطق فازی

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Jafari, S. (2016). A Study of the Impact of Non-financial Variables on Investor Decision-making in the Tehran Stock Exchange Islamic Azad University, Babol Branch].

Kamo, H., & Dagli, C. (2017). Japanese candlestick trading pattern recognition using fuzzy logic. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics,

Kumar, B. S., & Ravi, V. (2022). A survey of the applications of text mining in financial domain. Knowledge-Based Systems, 114, 128-147. https://doi.org/10.1016/j.knosys.2016.10.003

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Leung, P. l., Ng lui, K., & wong, W. (2022). An improved estimation to make Markowitz's portfolio optimization theory users friendly and estimation accurate with application on the US stock market investment. 85-98. https://doi.org/10.1016/j.ejor.2012.04.003

Madbouly, M. M., Elkholy, M., Gharib, Y. M., & Darwish, S. M. (2020). Predicting Stock Market Trends for Japanese Candlestick Using Cloud Model. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020), Cham. https://doi.org/10.1007/978-3-030-44289-7_59

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Motamedi, M., & Darvish Motavalli, M. H. (2025). Designing a Dynamic Model for Evaluating Construction Investment Projects Using a System Dynamics Approach. Economic Research (Sustainable Growth and Development), 25(1), 291-318. https://mcej.modares.ac.ir/article-18-74581-en.html

Naranjo, R., Arroyo, J., & Santos, M. (2022). Fuzzy modeling of stock trading with fuzzy candlesticks. Expert Systems with Applications, 93, 15-27. https://doi.org/10.1016/j.eswa.2017.10.002

Raei, R., & Talangi, A. (2024). Advanced Investment Management. SAMT Publications.

Ramzani, N. (2020). A Study of the Relationship between the Free Float of Shares, Firm Size, and Financial Leverage with Dividend Policy in Companies on the Tehran Stock Exchange Islamic Azad University, Science and Research Branch]. Tehran.

Sadeghi, M., Ahmadi, S., & Hosseini, N. (2021). Combining Fuzzy Logic and Candlestick Patterns in Financial Market Forecasting. Financial Research Journal, 23(4), 55-72.

Tang, Q., Wang, C., & Feng, T. (2024). Technological innovation investment channels of industry-university-research alliance and non-alliance enterprises: An evolutionary game approach. Mathematics, 12(2), 289. https://doi.org/10.3390/math12020289

Viéitez, A., Santos, M., & Naranjo, R. (2024). Machine learning Ethereum cryptocurrency prediction and knowledge -based investment strategies. Knowledge -Based Systems, 299. https://doi.org/https://doi.org/10.1016/j.knosys.2024.112088

Wieprow, J. (2025). Assessment of investment potential in the art market using non-fungible tokens.

Ye, Z. (2024). The Optimal Portfolio of AIA Group Limiteds Investment Insurance Products Based on Markowitz Model and Index Model. Advances in Economics Management and Political Sciences, 79(1), 99-105. https://doi.org/10.54254/2754-1169/79/20241785

Zhang, J., Cui, S., Xu, Y., Li, Q., & Li, T. (2022). A novel data-driven stock price trend prediction system. Expert Systems with Applications, 97, 60-69. https://doi.org/10.1016/j.eswa.2017.12.026

Zhou, Y., & Dong, P. (2021). Fuzzy logic-based stock prediction system. International Journal of Fuzzy Systems, 23(4), 1123-1137.