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A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory
Author(s) -
Zhang Mei,
Da Xu Li,
Zhang WenXiu,
Li HuaiZu
Publication year - 2003
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00254
Subject(s) - rough set , computer science , degree (music) , inclusion (mineral) , reduction (mathematics) , extension (predicate logic) , set (abstract data type) , artificial intelligence , mathematics , gender studies , physics , geometry , sociology , acoustics , programming language
The theory of rough sets is an extension of set theory for studying intelligent systems characterized by insufficient and incomplete information. We discuss the basic concept and properties of knowledge reduction based on inclusion degree and evidence reasoning theory, and propose a knowledge discovery approach based on inclusion degree and evidence reasoning theory.