témavezető: Kóczy T. László
helyszín (magyar oldal): Széchenyi István University helyszín rövidítés: SZE
A kutatási téma leírása:
Research objectives:
Interested PhD candidates may choose a sub-topic within the above broad frame according to their personal preferences, possibly connected to one of the ongoing research directions of the supervisor’s group. Such sub-areas might be
• Fuzzy rule based models, especially dense and sparse rule bases, flat or hierarchical models, fuzzy signature rule bases (construction, applications, analytic study)
• Fuzzy signatures, Fuzzy Situational Maps, fuzzy signature state-machines (study of operations, analytic questions, applications in fuzzy communication, intelligent robots, logistic modeling, modeling management related problems with multiple structural features, etc.)
• Fuzzy Cognitive Maps (analytic study, applications for modeling, model reduction, sustainable systems, etc.)
• Neural networks based on fuzzy operations, fuzzy flip-flops and sequential circuits (analytic study, simulations)
• Evolutionary and population based optimization algorithms, meta-heuristics (applications on reference data, real measured data – if available), comparison of various algorithms, combination of algorithms, switching (preferred algorithms: bacterial evolutionary and memetic algorithms, particle swarm optimization, imperialist competitive algorithm, …); especially for solving very complex (NP-hard) discrete and continuous problems (TSP and its extensions, bin-packing, scheduling, high dimensional model identification, etc.)
• Complex optimization problems with fuzzy and uncertain parameters, costs, conditions, etc. solved by meta-heuristics, fuzzy clustering, and other computational intelligence learning methods.
felvehető hallgatók száma: 1
Jelentkezési határidő: 2021-04-30
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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