Journals

Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning – A Lattice Computing Approach – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

Y. Liu, V.G. Kaburlasos, A.G. Hatzimichailidis, Y. Xu, Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning – A Lattice Computing Approach. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 23-42, 2016.

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A distance measure based on fuzzy D-implications: application in pattern recognition – British Journal of Mathematics & Computer Science, vol. 14

A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “A distance measure based on fuzzy D-implications: application in pattern recognition”, British Journal of Mathematics & Computer Science, vol. 14, no. 3, pp. 1-14, 2016.

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Learning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications – IEEE Computational Intelligence Magazine, vol. 10, no. 3

V.G. Kaburlasos, G.A. Papakostas, “Learning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications”, IEEE Computational Intelligence Magazine, vol. 10, no. 3, pp. 42–51, 2015 (Special Issue on New Trends of Learning in Computational Intelligence. Guest Editors: Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu).

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A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data – Neurocomputing, vol. 150, part A

G.A. Papakostas, A. Savio, M. Graña, V.G. Kaburlasos, “A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data”, Neurocomputing, vol. 150, part A, pp. 37-42, 2015 (Special Issue on Bioinspired and knowledge based techniques and applications. Guest Editors: Manuel Graña and Bogdan Raducabu).

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A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application – Information Fusion, vol. 16

V.G. Kaburlasos, T. Pachidis, “A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application”, Information Fusion, vol. 16, pp. 68-83, 2014 (Special Issue on Information Fusion in Hybrid Intelligent Fusion Systems. Guest Editors: Michal Wozniak, Emilio Corchado and Manuel Graña).

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