The operation of a machine in the “physical” environment is typically supported by arithmetic models. However, when a human is involved there might emerge non-numerical data…
Our orientation is toward the development of machines with a capacity to interact with humans in various applications including education, precision farming, patrolling in the physical environment and other.
Our orientation is toward the conversion of our laboratory prototypes in commercial products.
A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, “Interactive social robots in special education”, Proceedings of the 2017 IEEE 7th International Conference on Consumer Electronics – Berlin (ICCE-Berlin), Berlin, Germany, 3-6 September 2017, pp. 210-213.
A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.
A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.
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.
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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