Veröffentlichungen

Books

2021Explainable Neural Networks based on Fuzzy Logic and Multi-criteria Decision Tools

J. Dombi, O. Csiszár, Springer Nature, Studies in Fuzziness and Soft Computing, STUDFUZZ, Vol. 408, 2021

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Peer-reviewed Papers

2021A short review on OWA operators,

O. Csiszár, IEEE Systems, Man, and Cybernetics Magazine, Vol. 7, Issue 2, 2021, 10.1109/MSMC.2020.3036378 .

2021Extrem elastic deformable ceramics on the nanoscale

G. Csiszar, R. Lawitzki, O. Csiszár, Nano Express, 2021.

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2021Medical recommender systems using interpretable neural networks based on continuous-valued logic and multicriteria decision operators

J. G. Diaz Ochoa, O. Csiszár, T. Schimper, BMC Medical Informatics and Decision Making, preprint: 10.21203/rs.3.rs-199580/v1, 2021.

2021Neural network-based medical recommender system using preference modelin

O. Csiszár, J. G. Diaz Ochoa, G. Csiszar, presentation at 91st online meeting of the EURO Working Group in Multi Criteria Decision Aiding (EWG-MCDA), 29-30 April, 2021.

2021Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic

D. Zeltner, B. Schmid, G. Csiszár, and O. Csiszár, Knowledge-Based Systems, 2021.

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2021Why Kappa Regression?

Urenda, Julio C., O. Csiszár, G. Csiszár, J. Dombi, György Eigner, O. Kosheleva and V. Kreinovich, Atlantis Studies in Uncertainty Modelling, volume 3, Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP), pp. 478-485, 2021.

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2020How to implement MCDM tools and continuous logic into neural computation? Towards better interpretability of neural networks

O. Csiszár, G. Csiszár, J. Dombi, Knowledge-Based Systems, Vol. 210, 2020.

2020Interpretable Neural Networks Based on Continuous-Valued Logic and Multicriteria Decision Operators

O. Csiszár, G. Csiszár, and J. Dombi, Knowledge-Based Systems, Vol. 199, 2020.

2020Natural Invariance Explains Empirical Success of Specifific Membership Functions

J. Urenda, O. Csiszár, G. Csiszár, J. Dombi, G. Eigner, Hedge Operations, and Negation Operations, Proceedings of NAFIPS 2020, Springer, 2020.

2020Structure-property relationship of multi-component iron-oxide nanowires by means of atom probe tomography, analytic microscopy and nonlinear mechanics

G. Csiszár, H. Solodenko, R. Lawitzki, W. Ma, C. Everett, O. Csiszár, Nanoscale Advances, 2020.

2020Towards Fast and Understandable Computations: Which "And"- and "Or"-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?

K. Alvarez, J. Urenda, O. Csiszár, G. Csiszár, J. Dombi, G. Eigner and V. Kreinovich, in Press, Acta Polytechnica Hungarica, November 2020.

2020Why Squashing Functions in Multi-Layer Neural Networks

J. C. Urenda, O. Csiszár, G. Csiszár, J. Dombi, O. Kosheleva, V. Kreinovich, G. Eigner, submitted to IEEE International Conference on Systems, Man, and Cybernetics Toronto, Canada, Oct 11-14, 2020.

2019Generator-based Modifiers and Membership Functions in Nilpotent Operator Systems

O. Csiszár, J. Dombi, IWOBI IEEE International Work Conference on Bioinspired Intelligence 2019, IWOBI 2019 IEEE International Work Conference on Bioinspired Intelligence, Budapest, Hungary, p. 99-106, 2019.

2018Operator-dependent Modifiers in Nilpotent Logical Systems

J. Dombi, O. Csiszár, paper presented at IJCCI International Joint Conference on Computational Intelligence, 2018, Seville, 18-20 September, 2018.

2017Self-dual Operators and a General Framework for Weighted Nilpotent Operators

J. Dombi, O. Csiszár, International Journal of Approximate Reasoning 81, pp. 115–127, 2017

2016Different Types of De Morgan Identities in Nilpotent Systems and a Universal Description

J. Dombi, O. Csiszár, paper presented at the International symposium on aggregation and structures ISAS 2016, Luxembourg, 5-8 July, 2016.

2015Equivalence Operators in Bounded Systems

J. Dombi, O. Csiszár, Fuzzy Sets and Systems, 2015.

2015Intelligent Decision Models

O. Csiszár, Doctoral Thesis, 2015.

2015The general nilpotent operator system

J. Dombi, O. Csiszár, Fuzzy Sets and Systems, vol. 261, pp. 1–19, 2015.

2014Implications in bounded systems

J. Dombi, O. Csiszár, Information Sciences, vol. 283, pp. 229–240, 2014.

2014Nilpotent Operator Systems

J. Dombi, O. Csiszár, paper presented at 35th Linz Seminar on Fuzzy Set Theor y, Graded logical approaches and their applications, Linz, 18-22 February, 2014.

2014On uninorms with fixed values along their border

O. Csiszár, J. C. Fodor, Annales Computatorica, Annales Univ. Sci. Budapest., Sect. Comp. 42, pp. 93–108, 2014.

2014The General Nilpotent Operator System

J. Dombi, O. Csiszár, paper presented at Fuzzy Set Theory and Applications (FSTA) conference, Liptovski Jan, 26-31 January, 2014.

2013Threshold Constructions of Aggregation Functions

O. Csiszár, J. C. Fodor, IEEE 9th International Conference on Computational Cybernetics (ICCC), pp.191–194, 2013.

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Prof. Dr. Orsolya Csiszar

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