Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

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Two attributes $ A $ and $ B $ are said to interact when it helps to observe the attribute
values of both attributes together. This is an example of a $2 $-way interaction. In general, a …

Interactions are patterns between several attributes in data that cannot be inferred from any
subset of these attributes. While mutual information is a well-established approach to …

Interactions are patterns between several attributes in data that cannot be inferred from any
subset of these attributes. While mutual information is a well-established approach to …

This book is dedicated to the memory of Professor Zdzis {\l} aw Pawlak who passed away
almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of …

In the development of rough set theory and applications, one can distinguish three main
stages. At the beginning, the researchers concentrated on descriptive properties such as …

To make decisions, multiple data are used. It is preferred to decide on the basis of each
datum separately, afterwards joining these decisions to take all data into consideration, for …

A method is presented for the approximation quality for sorting rules, which is based on
Rough Set Data Analysis. Several types of rules are discussed: The “nominal→ nominal” …

This work aims to develop alternative classifications for teams in a Championship. Data from
the 2005 Brazilian National Soccer Championship are analyzed. Rough Sets Theory (RST) …