Methods of adaptation of knowledge systems based on fuzzy sets
DOI:
https://doi.org/10.34767/SIMIS.2023.01.02Keywords:
fuzzy sets, adaptation methods, membership function, artificial intelligence, fuzzy systems, fuzzy neural networksAbstract
Adaptation methods for knowledge systems based on fuzzy sets are a very important topic because they improve and optimize the performance of fuzzy systems through a proper adaptation method. The adaptation method depends on the specific application, system requirements, available data and the problem domain. In this paper, the issues related to fuzzy sets are presented and examples are given. In addition, methods for adaptation of fuzzy set-based knowledge systems such as genetic algorithms, evolutionary programming, learning algorithms, reinforcement learning and online adaptation are presented.
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