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dc.contributor.author이정훈-
dc.date.accessioned2023-07-12T02:03:09Z-
dc.date.available2023-07-12T02:03:09Z-
dc.date.issued2009-08-
dc.identifier.citationIEEE International Conference on Fuzzy Systems, Page. 480-483-
dc.identifier.issn1098-7584-
dc.identifier.urihttps://ieeexplore.ieee.org/document/5277167?arnumber=5277167&SID=EBSCO:edseeeen_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/183129-
dc.description.abstractThe Possibilistic C-means (PCM) was proposed to overcome some of the drawbacks associated with the Fuzzy C-means (FCM) such as improved performance for noise data. However, PCM possesses some drawbacks such as sensitivity in the initial parameter values and to patterns that have relatively short distances between the prototypes. To overcome theses drawbacks, we propose an interval type-2 fuzzy approach to PCM by considering uncertainty in the fuzzy parameter m in the PCM algorithm. ©2009 IEEE.-
dc.languageen-
dc.publisherIEEE-
dc.subjectFuzzy C-means-
dc.subjectPossibilistic c-means-
dc.subjectFuzzy approach-
dc.subjectFuzzy parameter-
dc.subjectPattern recognition-
dc.subjectInitial parameter-
dc.subjectShort distances-
dc.subjectPulse code modulation-
dc.subjectNoise data-
dc.subjectFuzzy systems-
dc.titleAn interval type-2 fuzzy PCM algorithm for pattern recognition-
dc.typeArticle-
dc.identifier.doi10.1109/FUZZY.2009.5277167-
dc.relation.page480-483-
dc.relation.journalIEEE International Conference on Fuzzy Systems-
dc.contributor.googleauthorMin, Ji-Hee-
dc.contributor.googleauthorShim, Eun-A-
dc.contributor.googleauthorRhee, Frank Chung-Hoon-
dc.sector.campusE-
dc.sector.daehak공학대학-
dc.sector.department전자공학부-
dc.identifier.pidfrhee-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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