Rough set-based decision rules extraction

Rough set-based data analysis starts from a data table, called an information system. The attribute of information system is usually divided into two parts, condition attributes and decision. Such information system is called decision table. In every decision table a set of decision rules, called a decision algorithm, can be associated. It is shown that every decision algorithm reveals some well-known probabilistic properties, and we compare it with Bayes’theorem.