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

A 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.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1992-04
Language
ENG
Citation

FUZZY SETS AND SYSTEMS, v.47, no.1, pp.65 - 75

ISSN
0165-0114
URI
http://hdl.handle.net/10203/5558
Appears in Collection
EE-Journal Papers(저널논문)
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