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RSEISP
2007
Springer
14 years 6 months ago
Rough Sets and Approximation Schemes
Abstract. Approximate reasoning is used in a variety of reasoning tasks in Logicbased Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and s...
Victor W. Marek, Miroslaw Truszczynski
RSEISP
2007
Springer
14 years 6 months ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
RSEISP
2007
Springer
14 years 6 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
RSEISP
2007
Springer
14 years 6 months ago
The Art of Granular Computing
The current research in granular computing is dominated by set-theoretic models such as rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose ...
Yiyu Yao
RSEISP
2007
Springer
14 years 6 months ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak
RSEISP
2007
Springer
14 years 6 months ago
Web-Based Support Systems with Rough Set Analysis
Abstract. Rough sets have been applied to many areas where multiattribute data is needed to be analyzed to acquire knowledge for decision making. Web-based Support Systems (WSS) ar...
Jingtao Yao, Joseph P. Herbert