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- W4387444915 abstract "The paper presents the design processes of an adaptive fuzzy expert system. The adaptability of the system was achieved by changing the parameters (optimization) of the fuzzy rule base in accordance with the change of output parameters (defuzzification) using a genetic algorithm. The jFuzzyLogic software library was used to implement the prototype. This software library has the ability to use the fuzzy rules database optimization functions necessary to achieve it. In the course of the study, a UML-activity diagram was formed and the stages that can be used by researchers and developers when creating their own intelligent systems that increase the level of decision-making in difficult situations were determined." @default.
- W4387444915 created "2023-10-10" @default.
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- W4387444915 date "2023-09-10" @default.
- W4387444915 modified "2023-10-11" @default.
- W4387444915 title "Designing a Prototype of an Adaptive Expert System Using Fuzzy Logic and a Genetic Algorithm" @default.
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- W4387444915 doi "https://doi.org/10.1109/rusautocon58002.2023.10272949" @default.
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