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Extraction of Classification Boundary for Fuzzy Partitions and Its Application to Pattern Classification
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dc.contributor.author Son, Chang-S. -
dc.contributor.author Seo, Suk-T. -
dc.contributor.author Chung, Hwan-M. -
dc.contributor.author Kwon, Soon-H. -
dc.date.accessioned 2022-11-02T08:30:14Z -
dc.date.available 2022-11-02T08:30:14Z -
dc.date.created 2020-11-05 -
dc.date.issued 2008-10 -
dc.identifier.issn 1976-9172 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/17035 -
dc.description.abstract Objective of this paper is twofold. The first one is to study the mapping property and unified form of the component equations of the unknown node in bilateration, and the second one is to introduce the concept model for human-following robot based on bilateration. Bilateration needs only two known nodes and two distances' data. Because of the simple sensor arrangement in bilateration, it needs less computation and uses less number of unavoidable erroneous distances compared to the trilateration. -
dc.language Korean -
dc.publisher 한국지능시스템학회 -
dc.title Extraction of Classification Boundary for Fuzzy Partitions and Its Application to Pattern Classification -
dc.type Article -
dc.identifier.doi 10.5391/jkiis.2008.18.5.685 -
dc.identifier.wosid 000661247100053 -
dc.identifier.bibliographicCitation Son, Chang-S. (2008-10). Extraction of Classification Boundary for Fuzzy Partitions and Its Application to Pattern Classification. 한국지능시스템학회 논문지, 18(5), 685–691. doi: 10.5391/jkiis.2008.18.5.685 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor trilateration -
dc.subject.keywordAuthor bilateration -
dc.subject.keywordAuthor human-following -
dc.subject.keywordAuthor mapping property -
dc.subject.keywordAuthor hyperbola -
dc.subject.keywordPlus LOCALIZATION -
dc.citation.endPage 691 -
dc.citation.number 5 -
dc.citation.startPage 685 -
dc.citation.title 한국지능시스템학회 논문지 -
dc.citation.volume 18 -
dc.description.journalRegisteredClass kci -
dc.relation.journalResearchArea Computer Science; Mathematics -
dc.relation.journalWebOfScienceCategory Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Mathematics, Applied -
dc.type.docType Proceedings Paper -
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