Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288740473> ?p ?o ?g. }
- W4288740473 endingPage "130" @default.
- W4288740473 startingPage "116" @default.
- W4288740473 abstract "Interval-valued Information Systems (IvIS) reflect the uncertain information in real scene, in which the attribute value of objects are all interval values rather than single values. Data information analysed by three-way decisions is not static but dynamically changing in IvIS, which results in the updating of positive region, boundary region and negative region of decision class X. In this paper, a matrix computational framework based on λ-similarity relation is proposed on the variation of the attribute set, attribute value and object set. Based on the framework, some incremental algorithms are proposed to calculate the positive, boundary and negative region of X in dynamic IvIS. Finally, comparative experiments on data sets from UCI are conducted when attribute set, attribute value and object set are updating over time, respectively. Experimental results show that in comparison with the traditional algorithm, the proposed algorithms can effectively save time for the computation of positive, boundary and negative region of X in dynamic IvIS." @default.
- W4288740473 created "2022-07-30" @default.
- W4288740473 creator A5012272639 @default.
- W4288740473 creator A5036796895 @default.
- W4288740473 date "2022-10-01" @default.
- W4288740473 modified "2023-10-01" @default.
- W4288740473 title "Three-way decisions method based on matrices approaches oriented dynamic interval-valued information system" @default.
- W4288740473 cites W1021182246 @default.
- W4288740473 cites W1961869548 @default.
- W4288740473 cites W1994974007 @default.
- W4288740473 cites W2023750115 @default.
- W4288740473 cites W2028956919 @default.
- W4288740473 cites W2030179221 @default.
- W4288740473 cites W2048472139 @default.
- W4288740473 cites W2060952501 @default.
- W4288740473 cites W2070813883 @default.
- W4288740473 cites W2078514717 @default.
- W4288740473 cites W2089923511 @default.
- W4288740473 cites W2170557769 @default.
- W4288740473 cites W2252128398 @default.
- W4288740473 cites W2267111117 @default.
- W4288740473 cites W2276992463 @default.
- W4288740473 cites W2297889545 @default.
- W4288740473 cites W2310435784 @default.
- W4288740473 cites W2345465422 @default.
- W4288740473 cites W2511401805 @default.
- W4288740473 cites W2519971059 @default.
- W4288740473 cites W2561843635 @default.
- W4288740473 cites W2580984945 @default.
- W4288740473 cites W2595951082 @default.
- W4288740473 cites W2606186227 @default.
- W4288740473 cites W2625359627 @default.
- W4288740473 cites W2727405836 @default.
- W4288740473 cites W2737801118 @default.
- W4288740473 cites W2740407498 @default.
- W4288740473 cites W2752073986 @default.
- W4288740473 cites W2752796504 @default.
- W4288740473 cites W2772794611 @default.
- W4288740473 cites W2796438895 @default.
- W4288740473 cites W2888076169 @default.
- W4288740473 cites W2896326747 @default.
- W4288740473 cites W2896337548 @default.
- W4288740473 cites W2899562587 @default.
- W4288740473 cites W2902863837 @default.
- W4288740473 cites W2904406045 @default.
- W4288740473 cites W2905252792 @default.
- W4288740473 cites W2907627733 @default.
- W4288740473 cites W2952935381 @default.
- W4288740473 cites W2960746948 @default.
- W4288740473 cites W2989585950 @default.
- W4288740473 cites W2991303602 @default.
- W4288740473 cites W3008857449 @default.
- W4288740473 cites W3113225827 @default.
- W4288740473 cites W3200867809 @default.
- W4288740473 cites W3202340954 @default.
- W4288740473 cites W3214620214 @default.
- W4288740473 doi "https://doi.org/10.1016/j.ijar.2022.07.008" @default.
- W4288740473 hasPublicationYear "2022" @default.
- W4288740473 type Work @default.
- W4288740473 citedByCount "1" @default.
- W4288740473 countsByYear W42887404732023 @default.
- W4288740473 crossrefType "journal-article" @default.
- W4288740473 hasAuthorship W4288740473A5012272639 @default.
- W4288740473 hasAuthorship W4288740473A5036796895 @default.
- W4288740473 hasConcept C103278499 @default.
- W4288740473 hasConcept C106487976 @default.
- W4288740473 hasConcept C111012933 @default.
- W4288740473 hasConcept C11413529 @default.
- W4288740473 hasConcept C114614502 @default.
- W4288740473 hasConcept C115961682 @default.
- W4288740473 hasConcept C119857082 @default.
- W4288740473 hasConcept C121332964 @default.
- W4288740473 hasConcept C124101348 @default.
- W4288740473 hasConcept C134306372 @default.
- W4288740473 hasConcept C154945302 @default.
- W4288740473 hasConcept C159985019 @default.
- W4288740473 hasConcept C177264268 @default.
- W4288740473 hasConcept C192562407 @default.
- W4288740473 hasConcept C199360897 @default.
- W4288740473 hasConcept C25343380 @default.
- W4288740473 hasConcept C2776291640 @default.
- W4288740473 hasConcept C2777212361 @default.
- W4288740473 hasConcept C2778067643 @default.
- W4288740473 hasConcept C2778334786 @default.
- W4288740473 hasConcept C2781238097 @default.
- W4288740473 hasConcept C33923547 @default.
- W4288740473 hasConcept C41008148 @default.
- W4288740473 hasConcept C44870925 @default.
- W4288740473 hasConcept C45374587 @default.
- W4288740473 hasConcept C62354387 @default.
- W4288740473 hasConcept C75814411 @default.
- W4288740473 hasConceptScore W4288740473C103278499 @default.
- W4288740473 hasConceptScore W4288740473C106487976 @default.
- W4288740473 hasConceptScore W4288740473C111012933 @default.
- W4288740473 hasConceptScore W4288740473C11413529 @default.
- W4288740473 hasConceptScore W4288740473C114614502 @default.
- W4288740473 hasConceptScore W4288740473C115961682 @default.
- W4288740473 hasConceptScore W4288740473C119857082 @default.