József Mezei, PhD

Researcher

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Biography

József Mezei is an Assistant Professor in Information Systems at Åbo Akademi University, where he also received his PhD in Information Systems. He is a Docent in the School of Business and Management at Lappeenranta University of Technology. He is a co-author of more than 40 peer-reviewed research papers. His current research interests focus on analytics, decision making with imprecise information, and fuzzy optimization.

Selected publications

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Mezei, J. & Sarlin, P. RiskRank: Measuring Interconnected Risk. Economic Modeling forthcoming (2017). http://doi.org/10.1016/j.econmod.2017.04.016
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Mezei, J. & Brunelli, M. An inquiry into approximate operations on fuzzy numbers. International Journal of Approximate Reasoning 81, 147--159 (2017). http://doi.org/10.1016/j.ijar.2016.11.011
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Mezei, J. & Sarlin, P. Introduction to Machine Learning and Network Analytics in Finance Minitrack. in Proceedings of the 2017 Hawaii International Conference on System Sciences (HICSS) (IEEE Press, 2017).
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Mezei, J. & Sarlin, P. Possibilistic Clustering for Crisis Prediction: Systemic Risk States and Membership Degrees. in Proceedings of the 2017 Hawaii International Conference on System Sciences (HICSS) (IEEE Press, 2017).
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Mezei, J. & Sarlin, P. Aggregating expert knowledge for the measurement of systemic risk. Decision Support Systems 88, 38--50 (2016). http://doi.org/10.1016/j.dss.2016.05.007
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Björk, K.-M. & Mezei, J. A heuristical solution method to separable nonlinear programming problems. International Journal of Mathematics in Operational Research 9(2) (2016). http://doi.org/10.1504/IJMOR.2016.078002
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Mezei, J. & Sarlin, P. On interval-valued possibilistic clustering for a generalized objective function. in Proceedings of the 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI) (IEEE Press, 2016). http://doi.org/10.1109/FUZZ-IEEE.2016.7737773
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Mezei, J. & Sarlin, P. On a generalized objective function for possibilistic fuzzy clustering. in Proceedings of the 2016 Conference on Information Processing and Management of Uncertainty (IPMU) (Springer-Verlag, 2016). http://doi.org/10.1007/978-3-319-40596-4_59
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Mezei, J., Wikström, R. & Carlsson, C. Aggregating linguistic expert knowledge in type-2 fuzzy ontologies. Applied Soft Computing 35(1), 911–920 (2015).
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Björk, K.-M. & Mezei, J. An Economic Production Quantity Problem with Backorders and fuzzy cycle times. International journal of fuzzy systems 28(4), 1861--1868 (2015).
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Nikou, S., Mezei, J. & Sarlin, P. A process view to evaluate and understand preference elicitation. Journal of Multi-Criteria Decision Analysis 22(5–6), 305--329 (2015). http://doi.org/10.1002/mcda.1544
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Sarlin, P., Nikou, S., Mezei, J. & Bouwman, H. Visual Conjoint Analysis (VCA): A topology of preferences in multi-attribute decision making. Quality & Quantity 49(1), 385--405 (2015). http://doi.org/10.1007/s11135-014-9992-z.
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Björk, K.-M. & Mezei, J. A fuzzy MILP-model for the optimization of vehicle routing problem. Journal of Intelligent and Fuzzy System 26, 1349--1361 (2014).