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RSEISP
2007
Springer

Interpreting Low and High Order Rules: A Granular Computing Approach

12 years 22 days 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 decision logic language for granular computing. The language provides a formal method for describing and interpreting conditions in rules as granules and rules as relationships between granules. An information table is used to construct a concrete granular computing model. Two types of granules are constructed from an information table. They lead to two types of rules called low order and high order rules. As examples, we examine rules in the standard rough set analysis and dominance-based rough set analysis. Keywords. Low order rules, high order rules, granular computing, dominancebased rough set analysis
Yiyu Yao, Bing Zhou, Yaohua Chen
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where RSEISP
Authors Yiyu Yao, Bing Zhou, Yaohua Chen
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