Multisensor decision fusion strategy using fuzzy measure theory

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 423
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorYang, JM-
dc.contributor.authorKim, Jong-Hwan-
dc.date.accessioned2013-03-15T07:22:29Z-
dc.date.available2013-03-15T07:22:29Z-
dc.date.created2012-02-06-
dc.date.issued1995-08-27-
dc.identifier.citationProceedings of the 10th IEEE International Symposium on Intelligent Control, v., no., pp.157 - 162-
dc.identifier.urihttp://hdl.handle.net/10203/117341-
dc.languageENG-
dc.titleMultisensor decision fusion strategy using fuzzy measure theory-
dc.typeConference-
dc.identifier.scopusid2-s2.0-0029195319-
dc.type.rimsCONF-
dc.citation.beginningpage157-
dc.citation.endingpage162-
dc.citation.publicationnameProceedings of the 10th IEEE International Symposium on Intelligent Control-
dc.identifier.conferencecountryUnited States-
dc.identifier.conferencecountryUnited States-
dc.contributor.localauthorKim, Jong-Hwan-
dc.contributor.nonIdAuthorYang, JM-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0