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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (18):

• József Mezei, Kaj-Mikael Björk, An Economic Production Quantity Problem with Backorders and Fuzzy Cycle Times. Journal of Intelligent & Fuzzy Systems 28(4), 1861–1868, 2015.
• József Mezei, Robin Wikström, Christer Carlsson, Aggregating Linguistic Expert Knowledge in Type-2 Fuzzy Ontologies. Applied Soft Computing 35, 911–920, 2015.
• Kaj-Mikael Björk, József Mezei, A Fuzzy Milp-Model for the Optimization of Vehicle Routing Problem. Journal of Intelligent & Fuzzy Systems 26, 1349–1361, 2014.
• Peter Sarlin, Shahrokh Nikou, József Mezei, Harry Bouwman, Visual Conjoint Analysis (VCA): A Topology of Preferences in Multi-Attribute Decision Making. Quality and Quantity , 1–21, 2014.
• Anna Sell, József Mezei, Pirkko Walden, An Attitude-Based Latent Class Segmentation Analysis of Mobile Phone Users. Telematics and Informatics 31(2), 209–219, 2014.
• Matteo Brunelli, József Mezei, How Different Are Ranking Methods for Fuzzy Numbers?. Journal of Approximate Reasoning 54, 627–639, 2013.
• Matteo Brunelli, József Mezei, How different Are Ranking Methods for Fuzzy Numbers? A Numerical Study. International Journal of Approximate Reasoning 54(5), 627–639, 2013.
• Christer Carlsson, Jozsef Mezei, Matteo Brunelli, Fuzzy Ontology Used for Knowledge Mobilization . International Journal of Intelligent Systems 28(1), 52–71, 2013.
• Shahrokh Nikou, József Mezei, Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP). TELECOMMUNICATIONS POLICY 2013(2013), 15, 2013.
• Ignacio J. Perez, Robin Wikström, József Mezei, Christer Carlsson, Enrique Herrera-Viedma, A New Consensus Model for Group Decision Making Using Fuzzy Ontology. Soft Computing 17(9), 1617–1627, 2013.
• Ignacio J. Perez, Robin Wikström, József Mezei, Christer Carlsson, Karina Anaya, Enrique Herrera-Viedma, Linguistic Consensus Models based on a Fuzzy Ontology. 17, 498–505, 2013.
• Christer Carlsson, Matteo Brunelli, József Mezei, Decision Making with a Fuzzy Ontology. Soft Computing 16(7), 1143–1152, 2012.
• Mikael Collan, Robert Fullér, József Mezei, Credibilistic Approach to the Fuzzy Pay-Off Method for Real Option Analysis. Journal of Applied Operational Research 4(4), 174–182, 2012.
• Marko Mäkelä, Yury Nikulin, Jozsef Mezei, A Note on Extended Characterization of Generalized Trade-Off Directions in Multiobjective Optimization . Journal of Convex Analysis 19, 91–111, 2012.
• Marko Mäkelä, Yury Nikulin, Jozsef Mezei, Generalizing Trade-Off Directions in Multiobjective Optimization. Control and Cybernetics 3, 561 – 576, 2012.
• Alessandro Buoni, Mario Fedrizzi, József Mezei, Combining Attack Trees and Fuzzy Numbers in a Multi-Agent Approach to Fraud Detection. International Journal of Electronic Business 9(3), 186–202, 2011.
• Robert Fullér, József Mezei, Péter Várlaki, An Improved Index of Interactivity for Fuzzy Numbers. Fuzzy Sets and Systems 165, 50–60, 2011.
• Mikael Collan, Robert Fullér, Jozsef Mezei, A Fuzzy Pay-off Method for Real Option Valuation. Journal of Applied Mathematics and Decision Sciences 2009, 1–14, 2009.

Articles in proceedings (32):

• József Mezei, Peter Sarlin, On a Generalized Objective Function for Possibilistic Fuzzy Clustering. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems, 610, 711–722, Springer, 2016.
• Ajay Byanjankar, Markku Heikkilä, József Mezei, Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach. In: 2015 IEEE Symposium Series on Computational Intelligence, 8-10, 719–725, IEEE, 2015.
• Christer Carlsson, Markku Heikkilä, Jozsef Mezei, Fuzzy Entropy Used for Predictive Analytics. In: Fuzzy Logic in Its 50th Year, 187–209, Springer, 2015.
• Jozsef Mezei, Shahrokh Nikou, Fuzzy Optimization to Improve Mobile Wellness Applications for Young-Elderly. In: Bled eConference, 14, 2015.
• Christer Carlsson, Markku Heikkilä, Jozsef Mezei, Possibilistic Bayes Modelling for Predictive Analytics. In: IEEE International Symposium on Computational Intelligence and Informatics, 15–20, IEEE, 2014.
• József Mezei, Kaj-Mikael Björk, A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint. In: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science 442, 406–415, Springer, 2014.
• Kaj-Mikael Björk, József Mezei, A Fuzzy Tabu Search Approach to Solve a Vehicle Routing Problem. In: Ignacio Rojas, Gonzalo Joya, Joan Gabestany (Eds.), Advances in Computational Intelligence, Lecture Notes in Computer Science, 210–217, Springer, 2013.
• Christer Carlsson, Matteo Brunelli, József Mezei, A Soft Computing Approach to Mastering Paper Machines. In: Ralph H. Sprague (Ed.), Proceedings of the Forty-Sixth Annual Hawaii International Conference on Systems Sciences, 1394–1401, IEEE, 2013.
• József Mezei, Kaj-Mikael Björk, An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand. In: Advances in Information Systems and Technologies, 206, 557–566, Springer Berlin Heidelberg, 2013.
• József Mezei, Juan Antonio Morente-Molinera, Christer Carlsson, Feature Selection with Fuzzy Entropy to Find Similar Cases. In: Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk (Eds.), Advance Trends in Soft Computing, Studies in Fuzziness and Soft Computing 312, 383–390, Springer, 2013.
• József Mezei, Robin Wikström, OWAD Operators in Type-2 Fuzzy Ontologies. In: Witold Pedrycz, Marek Reformat (Eds.), Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 848–853 , IEEE, 2013.
• József Mezei, Robin Wikström, Aggregation Operators and Interval-Valued Fuzzy Numbers in Decision Making. In: Álvaro Rocha, Ana Maria Correia, Tom Wilson, Karl A. Stroetmann (Eds.), Advances in Information Systems and Technologies, Advances in Intelligent Systems and Computing 206, 535–544, Springer, 2013.
• Ignacio J. Perez, Robin Wikström, József Mezei, Christer Carlsson, Karina Anaya, Enrique Herrera-Viedma, Linguistic Consensus Models Based on a Fuzzy Ontology. In: Yong Shi, Youmin Xi, Peter Wolcott, Yingjie Tian, Jianping Li, Daniel Berg, Zhengxin Chen, E Herrera-Viedmnriquea, Gang Kou, Heeseok Lee, Yi Peng, Lean Yu (Eds.), Proceedings of the First International Conference on Information Technology and Quantitative Management, Procedia Computer Science, 498–505, Elsevier, 2013.
• Christer Carlsson, Robert Fullér, József Mezei, On Mean Value and Variance of Interval-Valued Fuzzy Numbers. In: Salvatore Greco (Ed.), Advances in Computational Intelligence, Communications in Computer and Information Science 299, 19–28, Springer-Verlag, 2012.
• Christer Carlsson, Robert Fullér, József Mezei, A Quantitative Approach to Quasi Fuzzy Numbers. In: Son Kuswadi (Ed.), Proceedings of the World Congress of International Fuzzy Systems Association 2011 and Asia Fuzzy Systems Society International Conference 2011, FN-001-1 - FN-001-6, Electronic Engineering Polytechnic Institute of Surabaya-ITS, Kampus ITS, Surabaya, 2011.
• Christer Carlsson, Robert Fullér, József Mezei, Project Selection with Interval-Valued Fuzzy Numbers. In: Imre J. Rudas (Ed.), Proceedings of the Twelfth IEEE International Symposium on Computational Intelligence and Informatics, 23-26, IEEE Computer Society Press, 2011.
• Mikael Collan, Robert Fullér, József Mezei, Xiaolu Wang, Numerical Patent Analysis with the Fuzzy Pay-Off Method: Valuing a Compound Real Option. In: Dabin Zhang, Lean Yu, Shouyang Wang (Eds.), The Fourth International Conference on Business Intelligence and Financial Engineering, 407-411, IEEE Computer Society CPS, 2011.
• Mikael Collan, Robert Fullér, József Mezei, A Fuzzy Pay-Off Method for Real Option Valuation: Credibilistic Approach. In: Yavuz Gunalay, Sukran Kadipasaoglu (Eds.), Proceedings of the 3rd International Conference on Applied Operational Research, Lecture Notes in Management Science 3, 267-276, Tadbir Operational Research Group Ltd, 2011.
• Mikael Collan, Robert Fullér, József Mezei, Xiaolu Wang, Patent Evaluation with a Numerical Real Option Method. In: Mark Zhou (Ed.), 2nd International Conference on Management Science and Engineering, Advances in Artificial Intelligence 1, 685–690, Information Engineering Research Institute, 2011.
• Robert Fullér, István Á. Harmati, József Mezei, Péter Várlaki, On Possibilistic Correlation Coefficient and Ratio for Fuzzy Numbers. In: Zoran Bojkovic, Janusz Kacprzyk (Eds.), Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases, 263-268, WSEAS Press, 2011.
• Shahrokh Nikou, Jozsef Mezei, Harry Bouwman, Yong Liu, Factors Influencing the Adoption of Mobile Services “Consumers’ Preferences” Using Analytic Hierarchy Process. In: Gyula Sallai (Ed.), Innovative ICT Applications Emerging Regulatory, Economic and Policy Issue, 47-59, EconStor, 2011.
• Alessandro Fedrizzi Buoni, Jozsef Mario Mezei, A Delphi-Based Approach to Fraud Detection Using Attack Trees and Fuzzy Numbers. In: Proceeding of the IASK International Conferences, 2010.
• Christer Carlsson, Matteo Brunelli, Jozsef Mezei, Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation. In: Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, II, 420-429, Springer-Verlag, 2010.
• Christer Carlsson, Matteo Brunelli, Jozsef Mezei, Knowledge Mobilisation for Knowledge Whenever and Wherever Needed. In: Ulrike Lechner, Dianne Lux Wigand (Eds.), proceedings of eBled, 261-273, online proceedings, 2010.
• Christer Carlsson, Matteo Brunelli, Jozsef Mezei, Fuzzy Ontologies and Knowledge Mobilisation: Turning Amateurs into Wine Connoisseurs. In: Alberto Prieto, Piero Bonissone, Gary Fogel (Eds.), WCCI 2010 IEEE World Congress on Computational Intelligence, 1718-1723, IEEE Computer Society, 2010.
• Christer Carlsson, Robert Fullér, József Mezei, An Approximate Reasoning Approach to Rank the Results of Fuzzy Queries. In: Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10, 2, 382-387, 2010.
• Robert Fullér, József Mezei, Péter Várlaki, A Correlation Ratio for Possibility Distributions. In: Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann (Eds.), Computational Intelligence for Knowledge-Based Systems Design, Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), Lecture Notes in Artificial Intelligence 6178, 178-187, Springer, 2010.
• Christer Carlsson, Robert Fullér, Jozsef Mezei, A Lower Limit for the Probability of Success of Computing Tasks in a Grid. In: Proceedings of the Tenth International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (CINTI 2009), 717-722, 2009.
• Mikael Collan, Robert Fullér, József Mezei, A Fuzzy Pay-Off Method for Real Option Valuation. In: Proceedings of the The Second International Conference on Business Intelligence and Financial Engineering (BIFE 2009), 165-169, 2009.
• Robert Fullér, Jozsef Mezei, Péter Várlaki, Some Illustrations of Possibilistic Correlation. In: Proceedings of the Tenth International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (CINTI 2009), 647-658, Budapest Tech, 2009.
• Christer Carlsson, Robert Fullér, József Mezei, A hybrid approach to computing the measure of success of computing tasks in a grid. In: Proceedings of the 9-th International Symposium of Hungarian Researchers on Computational Intelligence (CINTI 2008), 2008.
• Shahrokh Nikou, Jozsef Mezei, Harry Bouwman, Analytic Hierarchy Process (AHP) Approach for Selecting Mobile Service Category (Consumers’ Preferences). In: Andrea Rangon, Kalle Lyytinen, Raffaello Balocco, Stuart Barnes (Eds.), Proceedings 10th ICMB 2011, 2011 International Conference on Mobile Business, 119 – 128 , IEEE Computer Society, 0000.