Matches in SemOpenAlex for { <https://semopenalex.org/work/W2044145469> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2044145469 abstract "Rough sets theory is often used for extracting ifthen rules from categorical data sets with an objective function. In the conventional rough sets theory, the decision matrix method is known as one of the method extracting the rules. However, devising an efficient algorithm for the decision matrix method has seldom been reported to date. Consequently, this paper studies the process of reducing the decision matrix, finds several properties useful for the rule extraction, and proposes an effective algorithm for the extraction. The algorithm is implemented in a piece of software and a simulation experiment is conducted to compare the reduced time of the software base on the proposed algorithm with that of LEM2 software which is open to the public on the Internet, and is widely used throughout the world. As the results, the newly developed software is confirmed to perform exceptionally well under taxing conditions." @default.
- W2044145469 created "2016-06-24" @default.
- W2044145469 creator A5007758054 @default.
- W2044145469 creator A5064493763 @default.
- W2044145469 creator A5077920952 @default.
- W2044145469 date "2011-10-01" @default.
- W2044145469 modified "2023-09-25" @default.
- W2044145469 title "Studies on an effective algorithm to reduce the decision matrix — A technique on a rule extraction by rough sets theory" @default.
- W2044145469 cites W1508620301 @default.
- W2044145469 cites W1553701556 @default.
- W2044145469 cites W1605948227 @default.
- W2044145469 cites W1883898636 @default.
- W2044145469 cites W1997362234 @default.
- W2044145469 cites W2092833733 @default.
- W2044145469 cites W334102867 @default.
- W2044145469 doi "https://doi.org/10.1109/icsmc.2011.6084160" @default.
- W2044145469 hasPublicationYear "2011" @default.
- W2044145469 type Work @default.
- W2044145469 sameAs 2044145469 @default.
- W2044145469 citedByCount "1" @default.
- W2044145469 countsByYear W20441454692015 @default.
- W2044145469 crossrefType "proceedings-article" @default.
- W2044145469 hasAuthorship W2044145469A5007758054 @default.
- W2044145469 hasAuthorship W2044145469A5064493763 @default.
- W2044145469 hasAuthorship W2044145469A5077920952 @default.
- W2044145469 hasConcept C106487976 @default.
- W2044145469 hasConcept C111012933 @default.
- W2044145469 hasConcept C111919701 @default.
- W2044145469 hasConcept C11413529 @default.
- W2044145469 hasConcept C119857082 @default.
- W2044145469 hasConcept C124101348 @default.
- W2044145469 hasConcept C154945302 @default.
- W2044145469 hasConcept C159985019 @default.
- W2044145469 hasConcept C192562407 @default.
- W2044145469 hasConcept C199360897 @default.
- W2044145469 hasConcept C2777904410 @default.
- W2044145469 hasConcept C41008148 @default.
- W2044145469 hasConcept C5274069 @default.
- W2044145469 hasConcept C84839998 @default.
- W2044145469 hasConcept C98045186 @default.
- W2044145469 hasConceptScore W2044145469C106487976 @default.
- W2044145469 hasConceptScore W2044145469C111012933 @default.
- W2044145469 hasConceptScore W2044145469C111919701 @default.
- W2044145469 hasConceptScore W2044145469C11413529 @default.
- W2044145469 hasConceptScore W2044145469C119857082 @default.
- W2044145469 hasConceptScore W2044145469C124101348 @default.
- W2044145469 hasConceptScore W2044145469C154945302 @default.
- W2044145469 hasConceptScore W2044145469C159985019 @default.
- W2044145469 hasConceptScore W2044145469C192562407 @default.
- W2044145469 hasConceptScore W2044145469C199360897 @default.
- W2044145469 hasConceptScore W2044145469C2777904410 @default.
- W2044145469 hasConceptScore W2044145469C41008148 @default.
- W2044145469 hasConceptScore W2044145469C5274069 @default.
- W2044145469 hasConceptScore W2044145469C84839998 @default.
- W2044145469 hasConceptScore W2044145469C98045186 @default.
- W2044145469 hasLocation W20441454691 @default.
- W2044145469 hasOpenAccess W2044145469 @default.
- W2044145469 hasPrimaryLocation W20441454691 @default.
- W2044145469 hasRelatedWork W1545469699 @default.
- W2044145469 hasRelatedWork W1984131464 @default.
- W2044145469 hasRelatedWork W2003632541 @default.
- W2044145469 hasRelatedWork W2003745232 @default.
- W2044145469 hasRelatedWork W2054266573 @default.
- W2044145469 hasRelatedWork W2067693810 @default.
- W2044145469 hasRelatedWork W2070094919 @default.
- W2044145469 hasRelatedWork W2074282863 @default.
- W2044145469 hasRelatedWork W2088369900 @default.
- W2044145469 hasRelatedWork W2103411662 @default.
- W2044145469 hasRelatedWork W2114679238 @default.
- W2044145469 hasRelatedWork W2115742991 @default.
- W2044145469 hasRelatedWork W2116643208 @default.
- W2044145469 hasRelatedWork W2128333968 @default.
- W2044145469 hasRelatedWork W2132215025 @default.
- W2044145469 hasRelatedWork W2134533842 @default.
- W2044145469 hasRelatedWork W2201006665 @default.
- W2044145469 hasRelatedWork W2327696809 @default.
- W2044145469 hasRelatedWork W2349446941 @default.
- W2044145469 hasRelatedWork W2371653816 @default.
- W2044145469 isParatext "false" @default.
- W2044145469 isRetracted "false" @default.
- W2044145469 magId "2044145469" @default.
- W2044145469 workType "article" @default.