While the first part was devoted to the presentation of a general perspective of Dominance-
based Rough Set Approach (DRSA) in the context of multicriteria classification, choice, and …

In this paper, we study general notions of satisfiability and meaning of formulas and sets of
formulas in approximation spaces. Rather than proposing one particular form of rough …

This paper focuses on comparison of approximation methods in rough set method. It has
been shown that rough set approach is more effective in extracting the design decision rules …

The problem considered in this paper is the evaluation of perception as a means of
optimizing various tasks. The solution to this problem hearkens back to early research on …

The rough sets theory developed by Prof. Z. Pawlak is one of the tools used in intelligent
systems for data analysis and processing. In modern systems, the amount of the collected …

Volume III of the Transactions on Rough Sets (TRS) introduces advances in the theory and
application of rough sets. These advances have far-reaching impli-tions in a number of …

The aim of the paper is to present basic notions related to granular computing, namely the
information granule syntax and semantics as well as the inclusion and closeness (similarity) …

Chapter 10 On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set
Analysis* Page 1 Chapter 10 On Model Evaluation, Indexes of Importance, and Interaction Values …

The concept approximation problem is the basic problem investigated in machine learning,
pattern recognition [1], and data mining [2]. It is necessary to induce approximations of …

In this article we continue searching for functions which might be used as measures of
inclusion of information granules in information granules. Starting with a 3-valued logic …