Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이정훈 | - |
dc.date.accessioned | 2019-06-04T08:07:21Z | - |
dc.date.available | 2019-06-04T08:07:21Z | - |
dc.date.issued | 2007-02 | - |
dc.identifier.citation | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, v. 2, No. 1, Page. 44-56 | en_US |
dc.identifier.issn | 1556-603X | - |
dc.identifier.issn | 1556-6048 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/abstract/document/4195041 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/106285 | - |
dc.description.abstract | Interval type-2 fuzzy sets were used to model the uncertainty that is associated with the various parameters in objective function-based clustering. The purpose was to represent and manage the uncertainty in the cluster memberships by incorporating interval type-2 fuzzy sets. As a result, interval type-2 clustering methods were obtained by modifying the prototype-updating and hard-partitioning procedures in the type-1 fuzzy objective function-based clustering. As a consequence, the management of uncertainty by an interval type-2 fuzzy approach aids cluster prototypes to converge to a more desirable location than a type-1 fuzzy approach. Several examples illustrated the effectiveness of interval type-2 fuzzy approach methods. Furthermore, the uncertainty associated with the parameters for other existing clustering algorithms can be considered in the development of several other interval type-2 clustering algorithms. They are currently under investigation. | en_US |
dc.description.sponsorship | This research was supported by the Agency for Defense Development, Korea, through the Image Information Research Center at Korea Advanced Institute of Science & Technology. The author would also like to thank his former Ph.D. student Dr. Cheul Hwang for useful suggestions for the improvement of this article and computer simulations. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.title | Uncertain Fuzzy Clustering: Insights and Recommendations | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/MCI.2007.357193 | - |
dc.relation.journal | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | - |
dc.contributor.googleauthor | Rhee, Frank Chung-Hoon | - |
dc.relation.code | 2009215939 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | frhee | - |
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