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Approximation of Classification and Measures of Uncertainty in Rough Set on Two Universal Sets

The notion of rough set captures indiscernibility of elements in a set. But, in many real life situations, an information system establishes the relation between different universes. This gave the extension of rough set on single universal set to rough set on two universal sets. In this paper, we introduce approximation of classifications and measures of uncertainty basing upon rough set on two universal sets employing the knowledge due to binary relations.

preprint2013arXivOpen access
B. K. TripathyD. P. Acharjya
Artificial Intelligence
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Open access2 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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B. K. TripathyD. P. Acharjya

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