Matches in SemOpenAlex for { <https://semopenalex.org/work/W2909996190> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2909996190 endingPage "13" @default.
- W2909996190 startingPage "1" @default.
- W2909996190 abstract "Abstract Existing multigranulation rough set models often suppose the family of equivalence relations is existed and do not give the methods to construct the multigranulation space. That is, the multigranulation space is given. So in multigranulation rough set models, how to derive the family of equivalence relations and construct the multigranulation space is an important problem to be resolved. In this paper, considering there are different granulation of attributes and attribute values, I propose multigranulation rough set model based on granulation of attributes and granulation of attribute values (MRAAV), which provides a method to construct the multigranulation space in multigranulation rough set models. Based on MRAAV, multigranulation problem solving space is constructed. The search strategy for problem solving in multigranulation problem solving space is presented, which make the information processing process of rough set is structured and hierarchical. Finally, the rule extraction algorithm based on MRAAV is given, which can not only extract rules from multiple abstract concept levels, but also with low costs. The example and experimental results demonstrate the effectiveness of the proposed model and algorithms." @default.
- W2909996190 created "2019-01-25" @default.
- W2909996190 creator A5000944002 @default.
- W2909996190 date "2019-05-01" @default.
- W2909996190 modified "2023-10-17" @default.
- W2909996190 title "Multigranulation rough set model based on granulation of attributes and granulation of attribute values" @default.
- W2909996190 cites W1554773601 @default.
- W2909996190 cites W1843766148 @default.
- W2909996190 cites W1976555061 @default.
- W2909996190 cites W1986839581 @default.
- W2909996190 cites W1992915331 @default.
- W2909996190 cites W1994082075 @default.
- W2909996190 cites W2030692046 @default.
- W2909996190 cites W2036999870 @default.
- W2909996190 cites W2040753112 @default.
- W2909996190 cites W2066150658 @default.
- W2909996190 cites W2069125985 @default.
- W2909996190 cites W2071255876 @default.
- W2909996190 cites W2074282863 @default.
- W2909996190 cites W2082272625 @default.
- W2909996190 cites W2107566963 @default.
- W2909996190 cites W2151101158 @default.
- W2909996190 cites W2153676086 @default.
- W2909996190 cites W2154500141 @default.
- W2909996190 cites W2162755671 @default.
- W2909996190 cites W2167293341 @default.
- W2909996190 cites W2170755382 @default.
- W2909996190 cites W2261233885 @default.
- W2909996190 cites W4239752868 @default.
- W2909996190 cites W4255833381 @default.
- W2909996190 doi "https://doi.org/10.1016/j.ins.2019.01.042" @default.
- W2909996190 hasPublicationYear "2019" @default.
- W2909996190 type Work @default.
- W2909996190 sameAs 2909996190 @default.
- W2909996190 citedByCount "8" @default.
- W2909996190 countsByYear W29099961902020 @default.
- W2909996190 countsByYear W29099961902021 @default.
- W2909996190 countsByYear W29099961902022 @default.
- W2909996190 countsByYear W29099961902023 @default.
- W2909996190 crossrefType "journal-article" @default.
- W2909996190 hasAuthorship W2909996190A5000944002 @default.
- W2909996190 hasConcept C111012933 @default.
- W2909996190 hasConcept C124101348 @default.
- W2909996190 hasConcept C159985019 @default.
- W2909996190 hasConcept C177264268 @default.
- W2909996190 hasConcept C192562407 @default.
- W2909996190 hasConcept C199360897 @default.
- W2909996190 hasConcept C33923547 @default.
- W2909996190 hasConcept C41008148 @default.
- W2909996190 hasConcept C88463166 @default.
- W2909996190 hasConceptScore W2909996190C111012933 @default.
- W2909996190 hasConceptScore W2909996190C124101348 @default.
- W2909996190 hasConceptScore W2909996190C159985019 @default.
- W2909996190 hasConceptScore W2909996190C177264268 @default.
- W2909996190 hasConceptScore W2909996190C192562407 @default.
- W2909996190 hasConceptScore W2909996190C199360897 @default.
- W2909996190 hasConceptScore W2909996190C33923547 @default.
- W2909996190 hasConceptScore W2909996190C41008148 @default.
- W2909996190 hasConceptScore W2909996190C88463166 @default.
- W2909996190 hasFunder F4320321001 @default.
- W2909996190 hasFunder F4320334897 @default.
- W2909996190 hasLocation W29099961901 @default.
- W2909996190 hasOpenAccess W2909996190 @default.
- W2909996190 hasPrimaryLocation W29099961901 @default.
- W2909996190 hasRelatedWork W1543345676 @default.
- W2909996190 hasRelatedWork W1585083011 @default.
- W2909996190 hasRelatedWork W1991531379 @default.
- W2909996190 hasRelatedWork W2008281991 @default.
- W2909996190 hasRelatedWork W2126880743 @default.
- W2909996190 hasRelatedWork W2283513923 @default.
- W2909996190 hasRelatedWork W2362450124 @default.
- W2909996190 hasRelatedWork W2363180653 @default.
- W2909996190 hasRelatedWork W2380946901 @default.
- W2909996190 hasRelatedWork W2386852525 @default.
- W2909996190 hasVolume "484" @default.
- W2909996190 isParatext "false" @default.
- W2909996190 isRetracted "false" @default.
- W2909996190 magId "2909996190" @default.
- W2909996190 workType "article" @default.