Handbook of Rough Set Extensions and Uncertainty Models

ArXi:2604.19794v1 Announce Type: new Rough set theory models uncertainty by approximating target concepts through lower and upper sets induced by indiscernibility, or generally, by granulation relations in data tables. This perspective captures vagueness caused by limited observational resolution and s set-theoretic reasoning about what can be determined with certainty and what remains only possible. This book is written as a map of models.