Alexander Gegov

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David SandersPortsmouthAdresse e-mail validée de port.ac.uk
Raheleh JafariUniversity of Leeds, School of designAdresse e-mail validée de leeds.ac.uk
Sina RazvarzDepartamento de Control Automatico CINVESTAV-IPN (National Polytechnic Institute) Mexico CityAdresse e-mail validée de ctrl.cinvestav.mx
Han LiuShenzhen UniversityAdresse e-mail validée de szu.edu.cn
Farzad ArabikhanAdresse e-mail validée de port.ac.uk
Boriana VatchovaInstitute of Information and Communication Technologies, Associate ProfessorAdresse e-mail validée de iict.bas.bg
Mo AddaPrincipal Lecturer in Computing, University of PortsmouthAdresse e-mail validée de port.ac.uk
Ku Muhammad Naim Ku KhalifUniversiti Malaysia PahangAdresse e-mail validée de ump.edu.my
Rinat KhusainovUniversity of PortsmouthAdresse e-mail validée de port.ac.uk
Maria Nadia PostorinoDICEAMAdresse e-mail validée de unirc.it
Maya DimitrovaProfessor, Institute of Robotics, BASAdresse e-mail validée de ir.bas.bg
Djamel AzziUniversity of PortsmouthAdresse e-mail validée de port.ac.uk
Antoaneta SerguievaUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Mark AthertonBrunel University LondonAdresse e-mail validée de brunel.ac.uk
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueAdresse e-mail validée de tudelft.nl
Todor StoilovAdresse e-mail validée de hsi.iccs.bas.bg
Ole-Christoffer GranmoProfessor University of AgderAdresse e-mail validée de uia.no
Plamen P AngelovChair Professor in Intelligent Systems, School of Computing and Communications, Lancaster UniversityAdresse e-mail validée de lancaster.ac.uk
Opeyemi Bello PhDSouthern California Gas CompanyAdresse e-mail validée de ou.edu
Mihaela CoceaSchool of Computing, University of Portsmouth, UKAdresse e-mail validée de port.ac.uk

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Alexander Gegov

University of Portsmouth,UK

Adresse e-mail validée de port.ac.uk - Page d'accueil

Artificial Intelligence Computational Intelligence Machine Learning Machine Reasoning Complex Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	134	2016
Rule-based systems: a granular computing perspective H Liu, A Gegov, M Cocea Granular Computing 1, 259-274, 2016	130	2016
Complexity management in fuzzy systems A Gegov Springer, 2007	112	2007
Rule based systems for big data: a machine learning approach H Liu, A Gegov, M Cocea Springer, 2015	92	2015
Fuzzy networks for complex systems A Gegov Berlin, Heidelberg: Springer. doi 10, 978-3, 2010	87	2010
Multi-layer decision methodology for ranking Z-numbers ASA Bakar, A Gegov International Journal of Computational Intelligence Systems 8 (2), 395-406, 2015	85	2015
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	75	2020
FN-TOPSIS: Fuzzy networks for ranking traded equities AM Yaakob, A Serguieva, A Gegov IEEE Transactions on Fuzzy Systems 25 (2), 315-332, 2016	65	2016
Categorization and construction of rule based systems H Liu, A Gegov, F Stahl Engineering Applications of Neural Networks: 15th International Conference …, 2014	63	2014
Hierarchical fuzzy control of multivariable systems AE Gegov, PM Frank Fuzzy Sets and Systems 72 (3), 299-310, 1995	62	1995
Flow control of fluid in pipelines using PID controller S Razvarz, C Vargas-Jarillo, R Jafari, A Gegov IEEE Access 7, 25673-25680, 2019	59	2019
AI tools for use in assembly automation and some examples of recent applications D Sanders, A Gegov Assembly Automation 33 (2), 184-194, 2013	52	2013
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	47	2018
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	44	2010
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	42	2019
Distributed fuzzy control of multivariable systems A Gegov Springer Science & Business Media, 2013	41	2013
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	39	2015
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	38	2019
Decomposition of multivariable systems for distributed fuzzy control AE Gegov, PM Frank Fuzzy Sets and Systems 73 (3), 329-340, 1995	37	1995
A new computational method for solving fully fuzzy nonlinear systems R Jafari, S Razvarz, A Gegov Computational Collective Intelligence: 10th International Conference, ICCCI …, 2018	36	2018

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