Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 32, Issue 4, Pages 512-525Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2002.1018770
Keywords
fuzzy methods; IOWA; nearest neighbor models
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The basic principle used in the construction of nearest neighbor models is discussed. The induced OWA (IOWA) operators are shown to provide a useful formal structure for building nearest neighbor models. A methodology for learning IOWA operator nearest neighbor models is described. Various types of nearest neighbor rules are investigated including those based on a linguistic specification. The situation in which the value of interest lies in an ordinal set is also considered. It is shown that the weighted median provides a useful tool for constructing nearest neighbor rules in this case.
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