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2006 | 16 | 2 | 251-262
Tytuł artykułu

How to secure a high quality knowledge base in a rulebased system with uncertainty

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Although the first rule-based systems were created as early as thirty years ago, this methodology of expert systems designing still proves to be useful. It becomes especially important in medical applications, while treating evidence given in an electronic format. Constructing the knowledge base of a rule-based system and, especially, of a system with uncertainty is a difficult task because of the size of this base as well as its heterogeneous character. The base consists of facts, ordinary rules and meta-rules, which differ from each other regarding both the syntax structure and the semantics. Having no tool to aid designing and maintaining the knowledge base of a rule-based system with uncertainty, we propose the algebra of rules with uncertainty which gives us theoretical foundations to build such a tool. Using the tool, it will be possible to indicate the facts and rules of a redundant character, as well as the pairs of facts and the pairs of rules which are contradictory to each other. The above tool is used in designing and maintaining the knowledge base of a system intended to prognosticate the effects of a medical treatment of the bronchial asthma disease.
Rocznik
Tom
16
Numer
2
Strony
251-262
Opis fizyczny
Daty
wydano
2006
otrzymano
2005-07-22
poprawiono
2005-09-12
(nieznana)
2005-12-18
Twórcy
  • Institute of Control and Information Engineering, Poznań University of Technology, Pl. M. Skłodowskiej-Curie 5, 60-965 Poznań, Poland
Bibliografia
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  • Jankowska B. (2001): Inexact reasoning in prognosticating the effects of a bronchial asthma treatment. - Proc. 3-th Conf.Computer Methods and Systems, Cracow, Poland, pp. 523-528, (in Polish).
  • Jankowska B. (2004): How to speed up reasoning in a system with uncertainty, In: Innovations in Applied Artificial Intelligence (R. Orcherd et al., Eds.). -LNAI 3029, Berlin: Springer-Verlag, pp. 817-826.
  • Jankowska B. (2005): Truth maintenance in an expert system with uncertainty. -Schedae Informaticae, Vol. 14.
  • Jankowska B. and Szymkowiak M. (2005): Konwledge acquisition for medical expert system. - Conf. Computer Methods and Systems, Cracow, Poland, pp. 319-328.
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  • Oniśko A., Lucas P. and Druzdzel M.J. (2001): Comparison of rule-based and Bayesian network approaches in medical diagnostic systems. - Proc. 8-th Conf. Artificial Intelligence in Medicine, LNAI, Vol.2101, Berlin: Springer, pp. 283-292.
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  • Zadeh L.A. (1965): Fuzzy Sets. - Inf. Contr., Vol. 8, No. 3, pp. 338-353.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv16i2p251bwm
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