the application of fuzzy logic and artificial neural networks in stock market forecasting for Indian investors. Specifically, the study could investigate the effectiveness of using neuro-fuzzy systems, which combine the strengths of both fuzzy logic and neural networks, for predicting trading decisions and behavior of investors in the Indian stock market. The research could also explore the use of other computational intelligence techniques, such as artificial immune algorithms, to further enhance the forecasting performance. Additionally, the study could examine the role of investor psychology and how it impacts trading behavior, and investigate how this can be incorporated into the forecasting models. The research could be useful for traders, investors, and portfolio managers in the Indian stock market.
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