Medicines selection via fuzzy upward beta-covering rough sets
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ali, Abbas | - |
dc.contributor.author | Rehman, Noor | - |
dc.contributor.author | Jang, Sun Young | - |
dc.contributor.author | Park, Choonkil | - |
dc.date.accessioned | 2022-07-09T03:40:36Z | - |
dc.date.available | 2022-07-09T03:40:36Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 1064-1246 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147003 | - |
dc.description.abstract | The notions of fuzzy upward beta-covering, the fuzzy upward beta-neighborhood, upward beta-neighborhood and fuzzy complement beta-neighborhood are introduced and several related properties are studied. Furthermore, multigranulation optimistic/pessimistic fuzzy rough sets based on fuzzy upward beta-covering are initiated and their fundamental properties are investigated. We also find the upward beta-neighborhood in the fuzzy upward covering approximation space and present the optimistic/pessimistic multigranulation rough sets to further enrich the presented notions. The medicine selection via fuzzy upward beta-covering rough sets in medical diagnosis is another main contribution of the present work. It is also explored that which medicine can be prescribed for which particular symtom(s) and which disease. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IOS PRESS | - |
dc.title | Medicines selection via fuzzy upward beta-covering rough sets | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Choonkil | - |
dc.identifier.doi | 10.3233/JIFS-190447 | - |
dc.identifier.scopusid | 2-s2.0-85073734857 | - |
dc.identifier.wosid | 000489941200107 | - |
dc.identifier.bibliographicCitation | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v.37, no.3, pp.4369 - 4390 | - |
dc.relation.isPartOf | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | - |
dc.citation.title | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | - |
dc.citation.volume | 37 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 4369 | - |
dc.citation.endPage | 4390 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordPlus | GROUP DECISION-MAKING | - |
dc.subject.keywordPlus | PREFERENCE-RELATION | - |
dc.subject.keywordPlus | GRANULATION | - |
dc.subject.keywordPlus | APPROXIMATION | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | REDUCTION | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | FUSION | - |
dc.subject.keywordAuthor | Fuzzy preference relation | - |
dc.subject.keywordAuthor | fuzzy rough set | - |
dc.subject.keywordAuthor | β-covering rough sets | - |
dc.identifier.url | https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs190447 | - |
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