Evidence-based model for 2-uncertain rules and inexact reasoning

• Autorzy: Jankowska B.
• Języki publikacji: EN

Abstrakty

EN

In empirical sciences, among others - in medicine, domain data - stored in different repositories - are the most important source of domain information. There is a great number of methods, including semantic data integration, that enable to acquire domain knowledge from such data and express it in a convenient form. In the paper we propose a model for rules with uncertainty (2-uncertain rules) that can be obtained from somewhat heterogeneous data, written in a common format of tuples. The rules are uncertain implications, with complex premises and single conclusions, and two specific reliability factors. In addition, we propose functions for propagating uncertainty through reasoning chains in Rule-Based Systems (RBSs) with such rules in their knowledge base.

Słowa kluczowe

EN

evidence; medical diagnostics; uncertain rules; RBS; inexact reasoning

PL

dowody; diagnostyka medyczna; zasady niepewności

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 20
• Strony: 39--47
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Jankowska B.

• Poznań University of Technology, Institute of Control and Information Engineering, 60-965 Poznan, Pl. M.Sklodowskiej-Curie 5

Bibliografia

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