Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912784590> ?p ?o ?g. }
- W2912784590 endingPage "749" @default.
- W2912784590 startingPage "734" @default.
- W2912784590 abstract "An information system as a database that expresses relationships between objects and attributes is an important mathematical model in the field of artificial intelligence. A hybrid information system with images is an information system which exists many kinds of data (e.g., boolean, categorical, real-valued, set-valued, interval-valued, images and missing data). This paper proposes a three-way decision method based on Gaussian kernel in a hybrid information system with images and gives an application in medical diagnosis. The distance between two objects based on the conditional attribute set in a hybrid information system with images is first given. Then, the fuzzy Tcos-equivalence relation, induced by a hybrid information system with images by using Gaussian kernel, is obtained. Next, the decision-theoretic rough set model for a hybrid information system with images is introduced by means of the inclusion measure between two fuzzy sets. Moreover, a three-way decision method is proposed by using this decision-theoretic rough set model. Finally, to illustrate the feasibility of the proposed method, an application of the proposed method is given by an example of medical diagnosis." @default.
- W2912784590 created "2019-02-21" @default.
- W2912784590 creator A5043520627 @default.
- W2912784590 creator A5066863522 @default.
- W2912784590 creator A5086034088 @default.
- W2912784590 date "2019-04-01" @default.
- W2912784590 modified "2023-10-15" @default.
- W2912784590 title "A three-way decision method based on Gaussian kernel in a hybrid information system with images: An application in medical diagnosis" @default.
- W2912784590 cites W1961869548 @default.
- W2912784590 cites W1969535228 @default.
- W2912784590 cites W1987828284 @default.
- W2912784590 cites W1997362234 @default.
- W2912784590 cites W2023441160 @default.
- W2912784590 cites W2023750115 @default.
- W2912784590 cites W2027654459 @default.
- W2912784590 cites W2028956919 @default.
- W2912784590 cites W2033765358 @default.
- W2912784590 cites W2036999870 @default.
- W2912784590 cites W2037053120 @default.
- W2912784590 cites W2040330356 @default.
- W2912784590 cites W2049204733 @default.
- W2912784590 cites W2050401513 @default.
- W2912784590 cites W2052719321 @default.
- W2912784590 cites W2056784354 @default.
- W2912784590 cites W2070813883 @default.
- W2912784590 cites W2089923511 @default.
- W2912784590 cites W2097923398 @default.
- W2912784590 cites W2100984859 @default.
- W2912784590 cites W2110183025 @default.
- W2912784590 cites W2113908141 @default.
- W2912784590 cites W2137205163 @default.
- W2912784590 cites W2162755671 @default.
- W2912784590 cites W2169807773 @default.
- W2912784590 cites W2215524969 @default.
- W2912784590 cites W2217596628 @default.
- W2912784590 cites W2286100642 @default.
- W2912784590 cites W2435300465 @default.
- W2912784590 cites W2500526976 @default.
- W2912784590 cites W2520155300 @default.
- W2912784590 cites W2562158000 @default.
- W2912784590 cites W2602688464 @default.
- W2912784590 cites W2604107963 @default.
- W2912784590 cites W2887485161 @default.
- W2912784590 cites W4230060986 @default.
- W2912784590 cites W4230741605 @default.
- W2912784590 cites W4243080782 @default.
- W2912784590 cites W4255833381 @default.
- W2912784590 cites W48766577 @default.
- W2912784590 cites W964455177 @default.
- W2912784590 doi "https://doi.org/10.1016/j.asoc.2019.01.031" @default.
- W2912784590 hasPublicationYear "2019" @default.
- W2912784590 type Work @default.
- W2912784590 sameAs 2912784590 @default.
- W2912784590 citedByCount "45" @default.
- W2912784590 countsByYear W29127845902020 @default.
- W2912784590 countsByYear W29127845902021 @default.
- W2912784590 countsByYear W29127845902022 @default.
- W2912784590 countsByYear W29127845902023 @default.
- W2912784590 crossrefType "journal-article" @default.
- W2912784590 hasAuthorship W2912784590A5043520627 @default.
- W2912784590 hasAuthorship W2912784590A5066863522 @default.
- W2912784590 hasAuthorship W2912784590A5086034088 @default.
- W2912784590 hasConcept C111012933 @default.
- W2912784590 hasConcept C114614502 @default.
- W2912784590 hasConcept C119857082 @default.
- W2912784590 hasConcept C124101348 @default.
- W2912784590 hasConcept C153180895 @default.
- W2912784590 hasConcept C154945302 @default.
- W2912784590 hasConcept C33923547 @default.
- W2912784590 hasConcept C41008148 @default.
- W2912784590 hasConcept C50897621 @default.
- W2912784590 hasConcept C5274069 @default.
- W2912784590 hasConcept C74193536 @default.
- W2912784590 hasConceptScore W2912784590C111012933 @default.
- W2912784590 hasConceptScore W2912784590C114614502 @default.
- W2912784590 hasConceptScore W2912784590C119857082 @default.
- W2912784590 hasConceptScore W2912784590C124101348 @default.
- W2912784590 hasConceptScore W2912784590C153180895 @default.
- W2912784590 hasConceptScore W2912784590C154945302 @default.
- W2912784590 hasConceptScore W2912784590C33923547 @default.
- W2912784590 hasConceptScore W2912784590C41008148 @default.
- W2912784590 hasConceptScore W2912784590C50897621 @default.
- W2912784590 hasConceptScore W2912784590C5274069 @default.
- W2912784590 hasConceptScore W2912784590C74193536 @default.
- W2912784590 hasFunder F4320322768 @default.
- W2912784590 hasFunder F4320322816 @default.
- W2912784590 hasLocation W29127845901 @default.
- W2912784590 hasOpenAccess W2912784590 @default.
- W2912784590 hasPrimaryLocation W29127845901 @default.
- W2912784590 hasRelatedWork W2039760767 @default.
- W2912784590 hasRelatedWork W2110459882 @default.
- W2912784590 hasRelatedWork W2364613871 @default.
- W2912784590 hasRelatedWork W2568490484 @default.
- W2912784590 hasRelatedWork W2569413172 @default.
- W2912784590 hasRelatedWork W3159790701 @default.
- W2912784590 hasRelatedWork W4280633950 @default.
- W2912784590 hasRelatedWork W87927339 @default.
- W2912784590 hasRelatedWork W2885734838 @default.