The Research of Constructing Rough Concept Lattices Model

Autor:	Hong Sheng Xu, Ting Zhong Wang
Rok vydání:	2011
Předmět:	Data processing Improved algorithm Dominance-based rough set approach General Medicine computer.software_genre Lattice (order) Formal concept analysis Lattice Miner Rough set Data mining Lattice reduction computer Algorithm Mathematics
Zdroj:	Applied Mechanics and Materials. :664-667
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.63-64.664
Popis:	Formal concept lattices and rough set theory are two kinds of complementary mathematical tools for data analysis and data processing. The algorithm of concept lattice reduction based on variable precision rough set is proposed by combining the algorithms of β-upper and lower distribution reduction in variable precision rough set. The traditional algorithms aboutβvalue select algorithm, attribute reduction based on discernibility matrix and extraction rule in VPRS are discussed, there are defects in these traditional algorithms which are improved. Finally, the generation system of concept lattice based on variable precision rough set is designed to verify the validity of the improved algorithm and a case demonstrates the whole process of concept lattice construction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::988ffd1dbe26659c8cabda2688b16a44 https://doi.org/10.4028/www.scientific.net/amm.63-64.664 Zobrazit plný text záznamu