Structure of knowledge base in FUZZLIB library

Przemysław Kudłacik

Abstract


FUZZLIB library provide a set of tools that let to create and manage diverse fuzzy systems with an easy to use interface. Configuration and management of a rule base, based on dynamic structures, is especially simplified. Article describes developed solutions and program interface.

Keywords


rule based fuzzy systems; knowledge base; approximate reasoning

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References


Baldwin J.F.: A new approach to approximate reasoning using a fuzzy logic. Fuzzy Sets and Systems Vol. 2, 1979, s. 309-325.

Kudłacik P.: Operacje na zbiorach rozmytych z odcinkowo-liniową funkcją przynależności. Studia Informatica Vol. 29(3A), Gliwice 2008, s. 91-111.

Łeski J.: Systemy Neuronowo-Rozmyte. Wydawnictwa Naukowo-Techniczne, Warszawa 2008.

Mamdani E.H., Assilan S.: An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies Vol. 20(2), 1975, s. 1-13.

Rutkowski L.: Metody i Techniki Sztucznej Inteligencji. Wydawnictwo Naukowe PWN, Warszawa 2006.

Zadeh L.A.: Fuzzy sets. Information and Control Vol. 8, 1965, s. 338-353.

Zadeh L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics Vol. 3(1), 1973, s. 28-44.

Cho Y.I.: Fuzzy Inference Method for Intelligent Artificial System. Journal of Medical Informatics & Technologies, Vol. 13, 2009, ISSN 1642-6037, s. 11-14.

Przybyła T.: Hybrid Fuzzy Clustering Method. Journal of Medical Informatics & Technologies Vol. 10, 2006, ISSN 1642-6037, s. 143-150.




DOI: http://dx.doi.org/10.21936/si2010_v31.n2A.384