Stable rule extraction and decision making in rough non-deterministic information analysis
نویسندگان
چکیده
Rough Non-deterministic Information Analysis (RNIA) is a rough set-based data analysis framework for Nondeterministic Information Systems (NISs). RNIA-related algorithms and software tools developed so far for rule generation provide good characteristics of NISs and can be successfully applied to decision making based on non-deterministic data. In this paper, we extend RNIA by introducing stability factor that enables to evaluate rules in a more flexible way and by developing a question-answering functionality that enables decision makers to analyze data gathered in NISs in case there are no pre-extracted rules that may address specified conditions.
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عنوان ژورنال:
- Int. J. Hybrid Intell. Syst.
دوره 8 شماره
صفحات -
تاریخ انتشار 2011