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http://dx.doi.org/10.5391/JKIIS.2005.15.6.701

Genealogy grouping for services of message post-office box based on fuzzy-filtering  

Lee Chong-Deuk (국립익산대학 정보통신공학과)
Ahn Jeong-Yong (전북대학교 통계정보학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.6, 2005 , pp. 701-708 More about this Journal
Abstract
Structuring mechanism, important to serve messages in post-office box structure, is to construct the hierarchy of classes according to the contents of message objects. This Paper Proposes $\alpha$-cut based genealogy grouping method to cluster a lot of structured objects in application domain. The proposed method decides the relationship first by semantic similarity relation and fuzzy relation, and then performs the grouping by operations of search( ), insert() and hierarchy(). This hierarchy structure makes it easy to process group-related processing tasks such as answering queries, discriminating objects, finding similarities among objects, etc. The proposed post-office box structure may be efficiently used to serve and manage message objects by the creation of groups. The Proposed method is tested for 5500 message objects and compared with other methods such as non-grouping, BGM, RGM, OGM.
Keywords
null; message objects; genealogy grouping; post-office box;
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