Dialectics of Counting and Measures of Rough Theories
A. Mani

TL;DR
This paper introduces new rough natural number systems to enhance measures in Rough Set theory and reduces dependence on prior axiomatic frameworks, providing improved results and representations.
Contribution
It presents novel rough natural number systems that improve measures in Rough Set theory and minimizes reliance on previous axiomatic assumptions.
Findings
Enhanced measures of rough sets and multiple knowledge models.
Reduced dependence on axiomatic granule theory.
New results on number representation and measures.
Abstract
New concepts of rough natural number systems, recently introduced by the present author, are used to improve most rough set-theoretical measures in general Rough Set theory (\textsf{RST}) and measures of mutual consistency of multiple models of knowledge. In this research paper, the explicit dependence on the axiomatic theory of granules of \cite{AM99} is reduced and more results on the measures and representation of the numbers are proved.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRough Sets and Fuzzy Logic
