A rough set multi-knowledge extraction algorithm and its formal concept analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097027" target="_blank" >RIV/61989100:27240/15:86097027 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7066261" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7066261</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISDA.2014.7066261" target="_blank" >10.1109/ISDA.2014.7066261</a>

Result language
angličtina
Original language name
A rough set multi-knowledge extraction algorithm and its formal concept analysis
Original language description
Rough set theory provides an effective method to reduce attributes and extract knowledge. This paper represents a rough set multi-knowledge extraction algorithm and its formal concept analysis. The proposed algorithm can obtain multi-reducts by using rough set in decision table. The formal concept analysis is used to obtain rules from the main values of the attributes influencing the decision making and these rules build a multi-knowledge. Experimental results show that the proposed multi-knowledge extraction algorithm is efficient. (C) 2014 IEEE.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Conference on Intelligent Systems Design and Applications, ISDA
ISBN
978-1-4799-7938-7
ISSN
2164-7143
e-ISSN
—
Number of pages
5
Pages from-to
25-29
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Okinawa
Event date
Nov 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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