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Alexander Gegov
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Citata da
Anno
Interactive TOPSIS based group decision making methodology using Z-numbers
AM Yaakob, A Gegov
International Journal of Computational Intelligence Systems 9 (2), 311-324, 2016
1342016
Rule-based systems: a granular computing perspective
H Liu, A Gegov, M Cocea
Granular Computing 1, 259-274, 2016
1302016
Complexity management in fuzzy systems
A Gegov
Springer, 2007
1122007
Rule based systems for big data: a machine learning approach
H Liu, A Gegov, M Cocea
Springer, 2015
922015
Fuzzy networks for complex systems
A Gegov
Berlin, Heidelberg: Springer. doi 10, 978-3, 2010
872010
Multi-layer decision methodology for ranking Z-numbers
ASA Bakar, A Gegov
International Journal of Computational Intelligence Systems 8 (2), 395-406, 2015
852015
Confidence levels q‐rung orthopair fuzzy aggregation operators and its applications to MCDM problems
BP Joshi, A Gegov
International Journal of Intelligent Systems 35 (1), 125-149, 2020
752020
FN-TOPSIS: Fuzzy networks for ranking traded equities
AM Yaakob, A Serguieva, A Gegov
IEEE Transactions on Fuzzy Systems 25 (2), 315-332, 2016
652016
Categorization and construction of rule based systems
H Liu, A Gegov, F Stahl
Engineering Applications of Neural Networks: 15th International Conference …, 2014
642014
Hierarchical fuzzy control of multivariable systems
AE Gegov, PM Frank
Fuzzy Sets and Systems 72 (3), 299-310, 1995
621995
Flow control of fluid in pipelines using PID controller
S Razvarz, C Vargas-Jarillo, R Jafari, A Gegov
IEEE Access 7, 25673-25680, 2019
592019
AI tools for use in assembly automation and some examples of recent applications
D Sanders, A Gegov
Assembly Automation 33 (2), 184-194, 2013
522013
A comparison study on flush+ reload and prime+ probe attacks on aes using machine learning approaches
Z Allaf, M Adda, A Gegov
Advances in Computational Intelligence Systems: Contributions Presented at …, 2018
462018
Improving ability of tele‐operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors
DA Sanders, J Graham‐Jones, A Gegov
Industrial Robot: An International Journal 37 (5), 431-440, 2010
442010
A rule-based expert system to decide on direction and speed of a powered wheelchair
DA Sanders, A Gegov, M Haddad, F Ikwan, D Wiltshire, YC Tan
Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019
422019
Distributed fuzzy control of multivariable systems
A Gegov
Springer Science & Business Media, 2013
412013
Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS
AM Yaakob, A Gegov
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015
392015
Neural network approach to solving fuzzy nonlinear equations using Z-numbers
R Jafari, S Razvarz, A Gegov
IEEE Transactions on Fuzzy Systems 28 (7), 1230-1241, 2019
382019
Decomposition of multivariable systems for distributed fuzzy control
AE Gegov, PM Frank
Fuzzy Sets and Systems 73 (3), 329-340, 1995
371995
A new computational method for solving fully fuzzy nonlinear systems
R Jafari, S Razvarz, A Gegov
Computational Collective Intelligence: 10th International Conference, ICCCI …, 2018
362018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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