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[23280] Artykuł:

Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problems

Czasopismo: Bulletin of the Polish Academy of Sciences-Technical Sciences   Tom: 63, Zeszyt: 3, Strony: 791-798
ISSN:  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
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Marian Bolesław Gorzałczany orcid logoWEAiIKatedra Informatyki, Elektroniki i Elektrotechniki *5010.00  
Filip Rudziński orcid logoWEAiIKatedra Informatyki, Elektroniki i Elektrotechniki *5010.00  

Grupa MNiSW:  Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A)
Punkty MNiSW: 20
Klasyfikacja Web of Science: Article


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Keywords:

accuracy and interpretability of fuzzy rule-based systems  multi-objective evolutionary optimization  genetic computations  fuzzy systems 



Abstract:

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).