Alexander Gegov
Cited by
Cited by
Rule-based systems: a granular computing perspective
H Liu, A Gegov, M Cocea
Granular Computing 1 (4), 259-274, 2016
Complexity management in fuzzy systems
A Gegov
Springer, 2007
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
Fuzzy networks for complex systems
A Gegov
Berlin, Heidelberg: Springer 10, 978-3, 2010
Rule based systems for big data: a machine learning approach
H Liu, A Gegov, M Cocea
Springer, 2015
Multi-layer decision methodology for ranking Z-numbers
ASA Bakar, A Gegov
International Journal of Computational Intelligence Systems 8 (2), 395-406, 2015
Hierarchical fuzzy control of multivariable systems
AE Gegov, PM Frank
Fuzzy Sets and Systems 72 (3), 299-310, 1995
FN-TOPSIS: Fuzzy networks for ranking traded equities
AM Yaakob, A Serguieva, A Gegov
IEEE Transactions on Fuzzy Systems 25 (2), 315-332, 2016
AI tools for use in assembly automation and some examples of recent applications
D Sanders, A Gegov
Assembly Automation, 2013
Flow control of fluid in pipelines using PID controller
S Razvarz, C Vargas-Jarillo, R Jafari, A Gegov
IEEE Access 7, 25673-25680, 2019
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, 2010
Distributed fuzzy control of multivariable systems
A Gegov
Springer Science & Business Media, 2013
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
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
Proceedings of SAI Intelligent Systems Conference, 822-838, 2018
A comparison study on flush+ reload and prime+ probe attacks on aes using machine learning approaches
Z Allaf, M Adda, A Gegov
UK Workshop on Computational Intelligence, 203-213, 2017
Rule-based system to assist a tele-operator with driving a mobile robot
DA Sanders, HM Sanders, A Gegov, D Ndzi
Proceedings of SAI Intelligent Systems Conference, 599-615, 2016
A new computational method for solving fully fuzzy nonlinear systems
R Jafari, S Razvarz, A Gegov
International Conference on Computational Collective Intelligence, 503-512, 2018
Rule base compression in fuzzy systems by filtration of non-monotonic rules
A Gegov, N Gobalakrishnan, D Sanders
Journal of Intelligent & Fuzzy Systems 27 (4), 2029-2043, 2014
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
Categorization and construction of rule based systems
H Liu, A Gegov, F Stahl
International conference on engineering applications of neural networks, 183-194, 2014
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