Abstract: In the paper some fuzzy classification algorithms based upon a nearest neighbor decision rule are considered in terms of the pattern recognition algorithms which are based on the computation of estimates (the so-called AEC model). It is shown that the fuzzy K nearest neighbor algorithm can be assigned to the AEC class. In turn, it is found that some standard AEC algorithms, which depend on a number of numerical parameters, can be used as fuzzy classification algorithms. Yet among them there exist algorithms extremal with respect to these parameters. Such algorithms provide maximum values of the associated performance measures.
Andrey Osipov, "On Some Fuzzy Classification Algorithms and the AEC Model," WSEAS Transactions on Systems, vol. 19, pp. 168-177, 2020, DOI:10.37394/23202.2020.19.22
Andrey Osipov. On Some Fuzzy Classification Algorithms and the AEC Model.
WSEAS Transactions on Systems. 2020;19:168-177. 10.37394/23202.2020.19.22