The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...
Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...