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Evidence-based Model for 2-uncertain Rules and Inexact Reasoning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jankowska, Beata |
| Copyright Year | 2012 |
| Abstract | 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 in tegration, 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 conc lusions, and two specific reliability factors. In addition, we p ropose functions for propagating uncertainty throug h reasoning chains in Rule-Based Systems (RBSs) with such rules in the ir knowledge base. |
| File Format | PDF HTM / HTML |
| Volume Number | 20 |
| Alternate Webpage(s) | http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-article-PWA4-0027-0004/c/2012_v20_Jankowska.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
