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Extraction of Classification Boundary for Fuzzy Partitions and Its Application to Pattern Classification
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Title
Extraction of Classification Boundary for Fuzzy Partitions and Its Application to Pattern Classification
Issued Date
2008-10
Citation
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
Type
Article
Author Keywords
trilaterationbilaterationhuman-followingmapping propertyhyperbola
Keywords
LOCALIZATION
ISSN
1976-9172
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.
URI
http://hdl.handle.net/20.500.11750/17035
DOI
10.5391/jkiis.2008.18.5.685
Publisher
한국지능시스템학회
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