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On Constructing Distance and Similarity Measures based on Fuzzy Implications – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

09/02/2016

2016, Journals, Publications

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.

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A. Hatzimichailidis G. A. Papakostas V. G. Kaburlasos

On Constructing Distance and Similarity Measures based on Fuzzy Implications – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

09/02/2016

humain

2016, Journals, Publications

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A. Hatzimichailidis G. A. Papakostas V. G. Kaburlasos

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

09/02/2016

humain

2016, Journals, Publications

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. Hatzimichailidis V. G. Kaburlasos Y. Liu Y. Xu

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

09/02/2016

humain

2016, Journals, Publications

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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A. Hatzimichailidis G. A. Papakostas V. G. Kaburlasos

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

09/02/2015

humain

2015, Journals, Publications

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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G. A. Papakostas V. G. Kaburlasos