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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Journal Papers(저널논문)

A FUZZY DECISION PROBLEM BASED ON THE GENERALIZED NEYMAN-PEARSON CRITERION

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dc.contributor.authorSON, JCko
dc.contributor.authorSong, Iickhoko
dc.contributor.authorKIM, HYko
dc.date.accessioned2008-07-09T05:20:33Z-
dc.date.available2008-07-09T05:20:33Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1992-04-
dc.identifier.citationFUZZY SETS AND SYSTEMS, v.47, no.1, pp.65 - 75-
dc.identifier.issn0165-0114-
dc.identifier.urihttp://hdl.handle.net/10203/5558-
dc.description.abstractA reformulation of the generalized Neyman-Pearson lemma is attempted using fuzzy set theory. Based on the result, we define a locally optimum (or locally most powerful) fuzzy test and derive the locally optimum fuzzy test function. As a practical application of the locally optimum fuzzy test, detection of weak deterministic signals corrupted by purely-additive noise is considered, which is an important problem in statistical signal processing. Comparisons between the locally optimum and the locally optimum fuzzy tests are also made in the example.-
dc.description.sponsorshipKorea Science and Engineering Foundation (KOSEF) under Grant 893-0801-011-2 and Korea Advanced Institute of Science and Technology (KAIST) under an Internal Granten
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCIENCE BV-
dc.titleA FUZZY DECISION PROBLEM BASED ON THE GENERALIZED NEYMAN-PEARSON CRITERION-
dc.typeArticle-
dc.identifier.wosidA1992HU55800007-
dc.identifier.scopusid2-s2.0-0008976554-
dc.type.rimsART-
dc.citation.volume47-
dc.citation.issue1-
dc.citation.beginningpage65-
dc.citation.endingpage75-
dc.citation.publicationnameFUZZY SETS AND SYSTEMS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorSong, Iickho-
dc.contributor.nonIdAuthorSON, JC-
dc.contributor.nonIdAuthorKIM, HY-
dc.subject.keywordAuthorSTATISTICAL HYPOTHESES TESTING-
dc.subject.keywordAuthorFUZZY TESTS-
dc.subject.keywordAuthorLOCALLY OPTIMUM DECISION-
dc.subject.keywordAuthorGENERALIZED NEYMAN-PEARSON LEMMA-
dc.subject.keywordAuthorSIGNAL DETECTION-
dc.subject.keywordPlusTESTING STATISTICAL HYPOTHESES-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusOPTIMUM-
dc.subject.keywordPlusSIGNALS-
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