| A fuzzy pay-off method for real option valuation M Collan, R Fullér, J Mezei 2009 International Conference on Business Intelligence and Financial …, 2009 | 267 | 2009 |
| Applying configurational analysis to IS behavioural research: a methodological alternative for modelling combinatorial complexities Y Liu, J Mezei, V Kostakos, H Li Information Systems Journal 27 (1), 59-89, 2017 | 229 | 2017 |
| Predicting credit risk in peer-to-peer lending: A neural network approach A Byanjankar, M Heikkilä, J Mezei 2015 IEEE symposium series on computational intelligence, 719-725, 2015 | 213 | 2015 |
| Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP) S Nikou, J Mezei Telecommunications Policy 37 (10), 915-929, 2013 | 179 | 2013 |
| How different are ranking methods for fuzzy numbers? A numerical study M Brunelli, J Mezei International Journal of Approximate Reasoning 54 (5), 627-639, 2013 | 155 | 2013 |
| When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type Y Ruan, J Mezei Journal of Retailing and Consumer Services 68, 103059, 2022 | 106 | 2022 |
| Improving supervised learning classification methods using multigranular linguistic modeling and fuzzy entropy JA Morente-Molinera, J Mezei, C Carlsson, E Herrera-Viedma IEEE transactions on fuzzy systems 25 (5), 1078-1089, 2016 | 104 | 2016 |
| A new consensus model for group decision making using fuzzy ontology IJ Pérez, R Wikström, J Mezei, C Carlsson, E Herrera-Viedma Soft Computing 17, 1617-1627, 2013 | 66 | 2013 |
| Decision making with a fuzzy ontology C Carlsson, M Brunelli, J Mezei Soft Computing 16, 1143-1152, 2012 | 66 | 2012 |
| Investigating the functions of the RIN4 protein complex during plant innate immune responses J Liu, JM Elmore, G Coaker Plant signaling & behavior 4 (12), 1107-1110, 2009 | 48 | 2009 |
| An attitude-based latent class segmentation analysis of mobile phone users A Sell, J Mezei, P Walden Telematics and Informatics 31 (2), 209-219, 2014 | 47 | 2014 |
| A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis JA Morente-Molinera, FJ Cabrerizo, J Mezei, C Carlsson, ... Knowledge-Based Systems 195, 105657, 2020 | 43 | 2020 |
| An improved index of interactivity for fuzzy numbers R Fullér, J Mezei, P Várlaki Fuzzy Sets and Systems 165 (1), 50-60, 2011 | 43 | 2011 |
| Aggregating expert knowledge for the measurement of systemic risk J Mezei, P Sarlin Decision Support Systems 88, 38-50, 2016 | 38 | 2016 |
| Digital natives’ intention to interact with social media: Value systems and gender S Nikou, J Mezei, M Brännback Telematics and Informatics 35 (2), 421-435, 2018 | 33 | 2018 |
| Automating lead scoring with machine learning: An experimental study R Nygĺrd, J Mezei | 29 | 2020 |
| RiskRank: Measuring interconnected risk J Mezei, P Sarlin Economic Modelling 68, 41-50, 2018 | 28 | 2018 |
| Project selection with interval-valued fuzzy numbers C Carlsson, R Fullér, J Mezeiz 2011 IEEE 12th International Symposium on Computational Intelligence and …, 2011 | 26 | 2011 |
| Fuzzy ontology used for knowledge mobilization C Carlsson, J Mezei, M Brunelli International Journal of Intelligent Systems 28 (1), 52-71, 2013 | 25 | 2013 |
| Analytic Hierarchy Process (AHP) approach for selecting mobile service category (consumers' preferences) S Nikou, J Mezei, H Bouwman 2011 10th International Conference on Mobile Business, 119-128, 2011 | 25 | 2011 |
Shahrokh NikouDelft University of TechnologyVerified email at tudelft.nl
