A Hybrid Systematic Review Approach on Complexity Issues in Data-Driven Fuzzy Inference Systems Development
نویسندگان
چکیده
The data-driven approach is popular to automate learning of fuzzy rules and tuning membership function parameters in inference systems (FIS) development. However, researchers highlight different challenges issues this FIS development because its complexity. This paper evaluates the current state art complexity Computer Science, Software Engineering Information Systems, specifically: 1) What exist context developing FIS? 2) Is it possible systematize existing solutions identified issues? We have conducted a hybrid systematic literature review combined with mapping study that includes keyword map address these questions. has main practitioners should consider when FIS. also proposes framework their
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ژورنال
عنوان ژورنال: Informatica (lithuanian Academy of Sciences)
سال: 2021
ISSN: ['1822-8844', '0868-4952']
DOI: https://doi.org/10.15388/21-infor444