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2020 – today
- 2022
[j23]Gang Yu, Mohammad Tabatabaei, József Mezei
, Qianhui Zhong, Siyu Chen, Zheming Li, Jing Li, Liqi Shu, Qiang Shu:
Improving chronic disease management for children with knowledge graphs and artificial intelligence. Expert Syst. Appl. 201: 117026 (2022)- [c38]Laleh Davoodi, József Mezei:
A Comparative Study of Machine Learning Models for Sentiment Analysis: Customer Reviews of E-Commerce Platforms. Bled eConference 2022: 27 - [c37]József Mezei, Anna Sell, Pirkko Walden:
Technology readiness, UTAUT2 and continued use of digital wellness services - A configurational approach. HICSS 2022: 1-10 - [c36]Peter Sarlin, József Mezei:
Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance, and Management. HICSS 2022: 1 - 2021
- [j22]Ajay Byanjankar, József Mezei, Markku Heikkilä:
Data-driven optimization of peer-to-peer lending portfolios based on the expected value framework. Intell. Syst. Account. Finance Manag. 28(2): 119-129 (2021) - [c35]Peter Sarlin, József Mezei:
Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance, and Management. HICSS 2021: 1-2 - 2020
- [j21]Francisco Javier Cabrerizo, Markku Heikkilä, József Mezei, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma, Christer Carlsson:
Granular fuzzy pay-off method for real option valuation. Expert Syst. Appl. 159: 113597 (2020) - [j20]Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, József Mezei, Christer Carlsson, Enrique Herrera-Viedma:
A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis. Knowl. Based Syst. 195: 105657 (2020) - [c34]József Mezei, Peter Sarlin:
Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance and Management. HICSS 2020: 1-2 - [c33]József Mezei, Anna Sell, Pirkko Walden:
Digital Coaching - An Exploratory Study on Potential Motivators. HICSS 2020: 1-10 - [c32]Robert Nygård, József Mezei:
Automating Lead Scoring with Machine Learning: An Experimental Study. HICSS 2020: 1-10 - [c31]Ajay Byanjankar, József Mezei, Xiaolu Wang:
Analyzing Peer-to-Peer Lending Secondary Market: What Determines the Successful Trade of a Loan Note? WorldCIST (2) 2020: 471-481
2010 – 2019
- 2019
- [c30]Peter Sarlin, József Mezei:
Introduction to the Minitrack on Machine Learning and Network Analytics in Finance. HICSS 2019: 1 - 2018
- [j19]József Mezei, Shahrokh Nikou:
Fuzzy optimization to improve mobile health and wellness recommendation systems. Knowl. Based Syst. 142: 108-116 (2018) - [j18]Shahrokh Nikou, József Mezei, Malin Brännback:
Digital natives' intention to interact with social media: Value systems and gender. Telematics Informatics 35(2): 421-435 (2018) - [c29]József Mezei, Ajay Byanjankar, Markku Heikkilä:
Credit Risk Evaluation in Peer-to-peer Lending With Linguistic Data Transformation and Supervised Learning. HICSS 2018: 1-10 - [c28]Peter Sarlin, József Mezei:
Introduction to the Minitrack on Machine Learning and Network Analytics in Finance. HICSS 2018: 1 - 2017
- [j17]Matteo Brunelli, József Mezei:
An inquiry into approximate operations on fuzzy numbers. Int. J. Approx. Reason. 81: 147-159 (2017) - [j16]Yong Liu, József Mezei, Vassilis Kostakos, Hongxiu Li:
Applying configurational analysis to IS behavioural research: a methodological alternative for modelling combinatorial complexities. Inf. Syst. J. 27(1): 59-89 (2017) - [j15]József Mezei, Matteo Brunelli, Christer Carlsson:
A fuzzy approach to using expert knowledge for tuning paper machines. J. Oper. Res. Soc. 68(6): 605-616 (2017) - [j14]Juan Antonio Morente-Molinera, József Mezei, Christer Carlsson, Enrique Herrera-Viedma:
Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy. IEEE Trans. Fuzzy Syst. 25(5): 1078-1089 (2017) - [c27]József Mezei, Mikael Collan, Pasi Luukka:
Real Option Analysis with Interval-Valued Fuzzy Numbers and the Fuzzy Pay-Off Method. EUSFLAT/IWIFSGN (1) 2017: 509-520 - [c26]Juan Antonio Morente-Molinera, József Mezei, Christer Carlsson, Enrique Herrera-Viedma:
Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes. FUZZ-IEEE 2017: 1-6 - [c25]József Mezei, Peter Sarlin:
Possibilistic Clustering for Crisis Prediction: Systemic Risk States and Membership Degrees. HICSS 2017: 1-10 - [c24]Peter Sarlin, József Mezei:
Introduction to Machine Learning and Network Analytics in Finance Minitrack. HICSS 2017: 1 - [c23]József Mezei, Pasi Luukka, Mikael Collan:
Similarity of histograms and circular histograms from interval and fuzzy data. IFSA-SCIS 2017: 1-6 - 2016
- [j13]József Mezei, Peter Sarlin:
Aggregating expert knowledge for the measurement of systemic risk. Decis. Support Syst. 88: 38-50 (2016) - [j12]Kaj-Mikael Björk, József Mezei:
A heuristical solution method to separable nonlinear programming problems. Int. J. Math. Oper. Res. 9(2): 230-242 (2016) - [c22]József Mezei, Peter Sarlin:
On interval-valued possibilistic clustering with a generalized objective function. FUZZ-IEEE 2016: 824-830 - [c21]József Mezei, Peter Sarlin:
On a Generalized Objective Function for Possibilistic Fuzzy Clustering. IPMU (1) 2016: 711-722 - [c20]József Mezei, András Molnár:
Drone sound detection by correlation. SACI 2016: 509-518 - [p5]Christer Carlsson, Markku Heikkilä, József Mezei:
Fuzzy Entropy Used for Predictive Analytics. Fuzzy Logic in Its 50th Year 2016: 187-209 - [p4]József Mezei, Matteo Brunelli:
Decision Analytics and Soft Computing with Industrial Partners: A Personal Retrospective. Fuzzy Technology 2016: 193-205 - 2015
- [j11]József Mezei, Robin Wikström, Christer Carlsson:
Aggregating linguistic expert knowledge in type-2 fuzzy ontologies. Appl. Soft Comput. 35: 911-920 (2015) - [j10]József Mezei, Kaj-Mikael Björk:
An economic production quantity problem with backorders and fuzzy cycle times. J. Intell. Fuzzy Syst. 28(4): 1861-1868 (2015) - [c19]József Mezei, Shahrokh Nikou:
Fuzzy optimization to improve mobile wellness applications for young-elderly. Bled eConference 2015: 14 - [c18]Christer Carlsson, Markku Heikkilä, József Mezei:
Fuzzy entropy used for predictive analytics. FUZZ-IEEE 2015: 1-6 - [c17]Ajay Byanjankar, Markku Heikkilä, József Mezei:
Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach. SSCI 2015: 719-725 - [p3]Robin Wikström, József Mezei:
Intrusion Detection with Type-2 Fuzzy Ontologies and Similarity Measures. Intelligent Methods for Cyber Warfare 2015: 151-172 - 2014
- [j9]Kaj-Mikael Björk, József Mezei:
A fuzzy milp-model for the optimization of vehicle routing problem. J. Intell. Fuzzy Syst. 26(3): 1349-1361 (2014) - [j8]Anna Sell, József Mezei, Pirkko Walden:
An attitude-based latent class segmentation analysis of mobile phone users. Telematics Informatics 31(2): 209-219 (2014) - [c16]József Mezei, Kaj-Mikael Björk:
A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint. IPMU (1) 2014: 406-415 - [i1]József Mezei, Peter Sarlin:
Aggregation operators for the measurement of systemic risk. CoRR abs/1412.5452 (2014) - 2013
- [j7]Matteo Brunelli, József Mezei:
How different are ranking methods for fuzzy numbers? A numerical study. Int. J. Approx. Reason. 54(5): 627-639 (2013) - [j6]Christer Carlsson, József Mezei, Matteo Brunelli:
Fuzzy Ontology Used for Knowledge Mobilization. Int. J. Intell. Syst. 28(1): 52-71 (2013) - [j5]Ignacio J. Pérez, Robin Wikström, József Mezei, Christer Carlsson, Enrique Herrera-Viedma:
A new consensus model for group decision making using fuzzy ontology. Soft Comput. 17(9): 1617-1627 (2013) - [c15]Christer Carlsson, Matteo Brunelli, József Mezei:
A Soft Computing Approach to Mastering Paper Machines. HICSS 2013: 1394-1401 - [c14]József Mezei, Robin Wikström:
OWAD operators in Type-2 fuzzy ontologies. IFSA/NAFIPS 2013: 848-853 - [c13]Ignacio J. Pérez, Robin Wikström, József Mezei, Christer Carlsson, Karina Anaya, Enrique Herrera-Viedma:
Linguistic Consensus Models based on a Fuzzy Ontology. ITQM 2013: 498-505 - [c12]Kaj-Mikael Björk, József Mezei:
A Fuzzy Tabu Search Approach to Solve a Vehicle Routing Problem. IWANN (1) 2013: 210-217 - [c11]József Mezei, Juan Antonio Morente-Molinera, Christer Carlsson:
Feature Selection with Fuzzy Entropy to Find Similar Cases. WCSC 2013: 383-390 - [c10]József Mezei, Robin Wikström:
Aggregation Operators and Interval-Valued Fuzzy Numbers in Decision Making. WorldCIST 2013: 535-544 - [c9]József Mezei, Kaj-Mikael Björk:
An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand. WorldCIST 2013: 557-566 - 2012
- [j4]Christer Carlsson, Matteo Brunelli, József Mezei:
Decision making with a fuzzy ontology. Soft Comput. 16(7): 1143-1152 (2012) - [c8]Kaj-Mikael Björk, József Mezei, Henrik J. Nyman:
A Multi-item Fuzzy Economic Production Quantity Problem with Limited Storage Space. HICSS 2012: 1238-1246 - [c7]Christer Carlsson, Robert Fullér, József Mezei:
On Mean Value and Variance of Interval-Valued Fuzzy Numbers. IPMU (3) 2012: 19-28 - [p2]Christer Carlsson, Robert Fullér, József Mezei:
A Quantitative View on Quasi Fuzzy Numbers. Combining Experimentation and Theory 2012: 225-236 - 2011
- [j3]Robert Fullér, József Mezei, Péter Várlaki:
An improved index of interactivity for fuzzy numbers. Fuzzy Sets Syst. 165(1): 50-60 (2011) - [j2]Alessandro Buoni, Mario Fedrizzi, József Mezei:
Combining attack trees and fuzzy numbers in a multi-agent approach to fraud detection. Int. J. Electron. Bus. 9(3): 186-202 (2011) - [c6]Shahrokh Nikou, József Mezei, Harry Bouwman:
Analytic Hierarchy Process (AHP) Approach for Selecting Mobile Service Category (Consumers' Preferences). ICMB 2011: 119-128 - [p1]Matteo Brunelli, Robert Fullér, József Mezei:
Opinion Changing Aversion Functions for Group Settlement Modeling. Consensual Processes 2011: 53-63 - 2010
- [c5]Christer Carlsson, Matteo Brunelli, József Mezei:
Knowledge Mobilisation for Knowledge Whenever and Wherever Needed. Bled eConference 2010: 23 - [c4]Christer Carlsson, Matteo Brunelli, József Mezei:
Fuzzy ontologies and knowledge mobilisation: Turning amateurs into wine connoisseurs. FUZZ-IEEE 2010: 1-7 - [c3]Robert Fullér, József Mezei, Péter Várlaki:
A Correlation Ratio for Possibility Distributions. IPMU 2010: 178-187 - [c2]Christer Carlsson, Matteo Brunelli, József Mezei:
Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation. IPMU (2) 2010: 420-429
2000 – 2009
- 2009
- [j1]Mikael Collan, Robert Fullér, József Mezei:
A Fuzzy Pay-Off Method for Real Option Valuation. Adv. Decis. Sci. 2009: 238196:1-238196:14 (2009) - [c1]Mikael Collan, Robert Fullér, József Mezei:
A Fuzzy Pay-Off Method for Real Option Valuation. BIFE 2009: 165-169
Coauthor Index
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last updated on 2023-09-13 23:04 CEST by the dblp team
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