@article{MTMT:2169219,
	title = {Definition and synergies of cognitive infocommunications},
	url = {https://m2.mtmt.hu/api/publication/2169219},
	author = {Baranyi, Péter Zoltán and Csapó, Ádám Balázs},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {9},
	unique-id = {2169219},
	issn = {1785-8860},
	year = {2012},
	eissn = {1785-8860},
	pages = {67-83},
	orcid-numbers = {Baranyi, Péter Zoltán/0000-0002-8265-5849}
}

@article{MTMT:2169221,
	title = {A Unified Terminology for the Structure and Semantics of CogInfoCom Channels},
	url = {https://m2.mtmt.hu/api/publication/2169221},
	author = {Csapó, Ádám Balázs and Baranyi, Péter Zoltán},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {9},
	unique-id = {2169221},
	issn = {1785-8860},
	year = {2012},
	eissn = {1785-8860},
	pages = {85-105},
	orcid-numbers = {Baranyi, Péter Zoltán/0000-0002-8265-5849}
}

@article{MTMT:2659202,
	title = {Robust servo control of a novel type 1 diabetic model},
	url = {https://m2.mtmt.hu/api/publication/2659202},
	author = {Kovács, Levente and Kulcsar, Balazs and György, András and Benyó, Zoltán},
	doi = {10.1002/oca.963},
	journal-iso = {OPTIM CONTR APPL MET},
	journal = {OPTIMAL CONTROL APPLICATIONS & METHODS},
	volume = {32},
	unique-id = {2659202},
	issn = {0143-2087},
	year = {2011},
	eissn = {1099-1514},
	pages = {215-238},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:1948142,
	title = {Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines},
	url = {https://m2.mtmt.hu/api/publication/1948142},
	author = {Tikk, Domonkos and Johanyák, Zsolt Csaba and Kovács, Szilveszter and Wong, K W},
	doi = {10.20965/jaciii.2011.p0254},
	journal-iso = {J ADV COMPUT INTELL},
	journal = {JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS},
	volume = {15},
	unique-id = {1948142},
	issn = {1343-0130},
	abstract = {This paper comprehensively analyzes Fuzzy Rule Interpolation and extrapolation Techniques (FRITs). Because extrapolation techniques are usually extensions of fuzzy rule interpolation, we treat them both as approximation techniques designed to be applied where sparse or incomplete fuzzy rule bases are used, i.e., when classical inference fails. FRITs have been investigated in the literature from aspects such as applicability to control problems, usefulness regarding complexity reduction and logic. Our objectives are to create an overall FRIT standard with a general set of criteria and to set a framework for guiding their classification and comparison. This paper is our initial investigation of FRITs. We plan to analyze details in later papers on how individual techniques satisfy the groups of criteria we propose. For analysis,MATLAB FRI Toolbox provides an easy-to-use testbed, as shown in experiments.},
	keywords = {Fuzzy rule interpolation (FRI); Fuzzy rule extrapolation (FRE); Evaluation guidelines of FRI methods; Criteria of FRITs},
	year = {2011},
	eissn = {1883-8014},
	pages = {254-263},
	orcid-numbers = {Johanyák, Zsolt Csaba/0000-0001-9285-9178; Kovács, Szilveszter/0000-0001-7942-7290}
}

@article{MTMT:1082770,
	title = {Intelligent Computing for the Management of Changes in Industrial Engineering Modeling Processes},
	url = {https://m2.mtmt.hu/api/publication/1082770},
	author = {Horváth, László and Rudas, Imre and Bitó, János and Hancke, G},
	journal-iso = {COMPUT INFORM},
	journal = {COMPUTING AND INFORMATICS},
	volume = {24},
	unique-id = {1082770},
	issn = {1335-9150},
	abstract = {Advancements in engineering modeling have changed the work of engineers during the last two decades. Sophisticated descriptions store information bout shape oriented engineering objects and their relationships. Boundary representations of form features constitute shape models. Rules and checks have replaced simple data form of shape model entity attributes. This change of modeling facilitates a next step towards application of computer intelligence at engineering object related decisions. The authors propose a method of intelligent attribute definition for integrated decision assistance environments of modeling systems. This method provides quick and comprehensive assessment of situations for decisions on modification of modeled objects in very complex information environments. The paper starts with an outline of the approach to intelligent decision assistance by the authors. Next, an Internet portal communicated scenario of the proposed modeling.},
	year = {2005},
	eissn = {2585-8807},
	pages = {549-562},
	orcid-numbers = {Rudas, Imre/0000-0002-2067-8578}
}