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[23280] Artykuł: Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problemsCzasopismo: Bulletin of the Polish Academy of Sciences-Technical Sciences Tom: 63, Zeszyt: 3, Strony: 791-798ISSN: 0239-7528 Wydawca: POLSKA AKAD NAUK, POLISH ACAD SCI, DIV IV TECHNICAL SCIENCES PAS, PL DEFILAD 1, WARSZAWA, 00-901, POLAND Opublikowano: Wrzesień 2015 Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A) Punkty MNiSW: 20 Klasyfikacja Web of Science: Article Pełny tekst DOI Web of Science YADDA/CEON Keywords: accuracy and interpretability of fuzzy rule-based systems  multi-objective evolutionary optimization  genetic computations  fuzzy systems  |
The paper addresses several open problems regarding the automatic design of fuzzy rule-based systems (FRBSs) from data using multi-objective evolutionary optimization algorithms (MOEOAs). In particular, we propose: a) new complexity-related interpretability measure, b) efficient strong-fuzzy-partition implementation for improving semantics-related interpretability, c) special-coding-free implementation of rule base and original genetic operators for its processing, and d) implementation of our ideas in the context of well-known MOEOAs such as SPEA2 and NSGA-II. The experiments demonstrate that our approach is an effective tool for handling FRBSs’ accuracy-interpretability trade-off, i.e, designing FRBSs characterized by various levels of such a trade-off (in particular, for designing highly interpretability-oriented systems of still competitive accuracy).