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- W4373349 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." @default.
- W4373349 created "2016-06-24" @default.
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- W4373349 date "2012-01-01" @default.
- W4373349 modified "2023-09-23" @default.
- W4373349 title "Evidence-based model for 2-uncertain rules and inexact reasoning" @default.
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