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- W3149398119 abstract "Interviews with poruolio managers suggests that a stock market forecasting support system should have a general model, which the users can reJne to match their personal needs and belie@. The model should oger interactive problem solving and justijication of its conclusion, and be able to process expert knowledge which is typically uncertain and vague. Fuzzy logic is capable to store uncertain and vague knowledge and to provide a declarative, interactive and explanatory prediction. Potential beneJts of a fuzzy logic forecast support are better decision making due to the model-based approach, knowledge management, and knowledge accumulation. The paper presents a general approach to stock market prediction and introduces an architecture of a fuzy logic forecasting support system. The system's architecture supports easy modiJcation of the knowledge base, facilities to trace problem solving, and simulation. Evaluation of the implementation demonstrates the system's functionality." @default.
- W3149398119 created "2021-04-13" @default.
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- W3149398119 date "1994-01-01" @default.
- W3149398119 modified "2023-09-26" @default.
- W3149398119 title "A Stock Market Forecasting Support System Based on Fuzzy Logic" @default.
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