Prati
Małgorzata Przybyła-Kasperek
Małgorzata Przybyła-Kasperek
Institute of Computer Science, University of Silesia in Katowice
Potvrđena adresa e-pošte na us.edu.pl
Naslov
Citirano
Citirano
Godina
Global decision-making system with dynamically generated clusters
M Przybyła-Kasperek, A Wakulicz-Deja
Information Sciences 270, 172-191, 2014
382014
A dispersed decision-making system–The use of negotiations during the dynamic generation of a system’s structure
M Przybyła-Kasperek, A Wakulicz-Deja
Information Sciences 288, 194-219, 2014
352014
The strength of coalition in a dispersed decision support system with negotiations
M Przybyła-Kasperek, A Wakulicz-Deja
European Journal of Operational Research 252 (3), 947-968, 2016
312016
Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters
M Przybyła-Kasperek, A Wakulicz-Deja
Applied Soft Computing 40, 603-615, 2016
312016
Application of reduction of the set of conditional attributes in the process of global decision-making
M Przybyła-Kasperek, A Wakulicz-Deja
Fundamenta Informaticae 122 (4), 327-355, 2013
292013
Application of the method of editing and condensing in the process of global decision-making
A Wakulicz-Deja, M Przybyła-Kasperek
Fundamenta Informaticae 106 (1), 93-117, 2011
272011
Hierarchical multi-agent system
A Wakulicz-Deja, M Przybyła-Kasperek
Recent Advances in Intelligent Information Systems, Academic Publishing …, 2009
232009
Three conflict methods in multiple classifiers that use dispersed knowledge
M Przybyła-Kasperek
International Journal of Information Technology & Decision Making 18 (02 …, 2019
222019
Comparison of fusion methods from the abstract level and the rank level in a dispersed decision-making system
M Przybyła-Kasperek, A Wakulicz-Deja
International Journal of General Systems 46 (4), 386-413, 2017
192017
Coalitions’ weights in a dispersed system with Pawlak conflict model
M Przybyła-Kasperek
Group Decision and Negotiation 29, 549-591, 2020
182020
Dispersed decision-making system with fusion methods from the rank level and the measurement level–A comparative study
M Przybyła-Kasperek, A Wakulicz-Deja
Information Systems 69, 124-154, 2017
172017
Comparative study of twoing and entropy Criterion for decision tree classification of dispersed data
S Aning, M Przybyła-Kasperek
Procedia Computer Science 207, 2434-2443, 2022
162022
Multi-agent decision taking system
A Wakulicz-Deja, M Przybyła-Kasperek
Fundamenta Informaticae 101 (1-2), 125-141, 2010
162010
Neural network used for the fusion of predictions obtained by the K-nearest neighbors algorithm based on independent data sources
M Przybyła-Kasperek, KF Marfo
Entropy 23 (12), 1568, 2021
142021
Global decisions Taking on the Basis of Multi-Agent System with a Hierarchical Structure and Density-Based Algorithm
A Wakulicz-Deja, M Przybyła-Kasperek
Concurrency Specification and Programming CS&P, Uniwersytet Warszawski, 627, 2009
132009
Optimizing customer retention in the telecom industry: A fuzzy-based churn modeling with usage data
T Zdziebko, P Sulikowski, W Sałabun, M Przybyła-Kasperek, I Bąk
Electronics 13 (3), 469, 2024
112024
Bagging and single decision tree approaches to dispersed data
M Przybyła-Kasperek, S Aning
International Conference on Computational Science, 420-427, 2021
112021
Study of selected methods for balancing independent data sets in k-nearest neighbors classifiers with Pawlak conflict analysis
M Przybyła-Kasperek
Applied Soft Computing 129, 109612, 2022
92022
Hierarchiczny system wieloagentowy
A Wakulicz-Deja, M Przybyła-Kasperek
Studia Informatica 28 (4), 74, 2008
92008
New classification method for independent data sources using pawlak conflict model and decision trees
M Przybyła-Kasperek, K Kusztal
Entropy 24 (11), 1604, 2022
72022
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