József Mezei
József Mezei
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A fuzzy pay-off method for real option valuation
M Collan, R Fullér, J Mezei
2009 International Conference on Business Intelligence and Financial …, 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
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
Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP)
S Nikou, J Mezei
Telecommunications Policy 37 (10), 915-929, 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
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
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
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
Decision making with a fuzzy ontology
C Carlsson, M Brunelli, J Mezei
Soft Computing 16, 1143-1152, 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
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
An improved index of interactivity for fuzzy numbers
R Fullér, J Mezei, P Várlaki
Fuzzy Sets and Systems 165 (1), 50-60, 2011
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
Aggregating expert knowledge for the measurement of systemic risk
J Mezei, P Sarlin
Decision Support Systems 88, 38-50, 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
Automating lead scoring with machine learning: An experimental study
R Nygård, J Mezei
RiskRank: Measuring interconnected risk
J Mezei, P Sarlin
Economic Modelling 68, 41-50, 2018
Project selection with interval-valued fuzzy numbers
C Carlsson, R Fullér, J Mezeiz
2011 IEEE 12th International Symposium on Computational Intelligence and …, 2011
Fuzzy ontology used for knowledge mobilization
C Carlsson, J Mezei, M Brunelli
International Journal of Intelligent Systems 28 (1), 52-71, 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
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