V.G. Kaburlasos, A. Kehagias, “Fuzzy inference system (FIS) extensions based on lattice theory”, IEEE Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 531-546, 2014.
S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Two fuzzy lattice reasoning (FLR) classifiers and their application for human facial expression recognition”, Journal of Multiple-Valued Logic and Soft Computing, vol. 22, no. 4-6, pp. 561-579, 2014 (Special Issue on Uncertainty Modeling in Knowledge Engineering and Decision Making. Guest Editors: Cengiz Kahraman and Farouk Yalaoui).
Y. Jamshidi, V.G. Kaburlasos, “gsaINknn: A GSA optimized, lattice computing knn classifier”, Engineering Applications of Artificial Intelligence, vol. 35, pp. 277-285, 2014.
G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos, “Distance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view”, Pattern Recognition Letters, vol. 34, no. 14, pp. 1609-1622, 2013.
V.G. Kaburlasos, S.E. Papadakis, G.A. Papakostas, “Lattice computing extension of the FAM neural classifier for human facial expression recognition”, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 10, pp. 1526-1538, 2013.
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