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Rough set-based rule generation in tables with uncertainties, especially non-deterministic information and missing values, is investigated. The possible world semantics is employed, and both certain rules and possible rules are defined. Even though these definitions cause the computational problem, it is solved by using rough set-based concepts, and(More)
We have been coping with several aspects of rough sets in non-deterministic information systems (NISs) and tables with inexact data. We are simply calling this work rough non-deterministic information analysis (RNIA). As for decision making in RNIA, we at first obtain rules in tables, then we apply them to the current condition. Therefore, there may be a(More)
This paper reports the definability of a set of objects and rough set-based rule generation. In a standard table, we at first obtain equivalence classes with respect to an attribute set, and we solve the definability of a set X of objects. As the side effect, we obtain conditions for specifying the set X. We have extended this algorithm to tables with(More)