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Using fuzzy methods to model nearest neighbor rules

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1 Author(s)
Yager, R.R. ; Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA

The basic principle used in the construction of nearest-neighbor models is discussed. The induced ordered weighted averaging (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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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:32 ,  Issue: 4 )