TY  - JOUR
AU  - Mihálydeák, Tamás
AU  - Kádek, Tamás
AU  - Nagy, Dávid
AU  - Chakraborty, Mihir K.
TI  - Intensions and extensions of granules: A two-component treatment
JF  - INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
J2  - INT J APPROX REASON
VL  - 169
PY  - 2024
SP  - 1
EP  - 15
PG  - 15
SN  - 0888-613X
DO  - 10.1016/j.ijar.2024.109182
UR  - https://m2.mtmt.hu/api/publication/34776900
ID  - 34776900
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Hannusch, Carolin
AU  - Mihálydeák, Tamás
TI  - Algebraic structures gained from rough approximation in incomplete information systems
T2  - Communication Papers of the 17th Conference on Computer Science and Intelligence Systems
PB  - PTI
SN  - 9788396589743
T3  - Annals of Computer Science and Information Systems, ISSN 2300-5963 ; 32.
PY  - 2022
SP  - 73
EP  - 77
PG  - 5
DO  - 10.15439/2022F90
UR  - https://m2.mtmt.hu/api/publication/33830484
ID  - 33830484
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Battyányi, Péter
AU  - Mihálydeák, Tamás
AU  - Vaszil, György
TI  - Rough-Set-Like Approximation Spaces for Formal Languages
JF  - JOURNAL OF AUTOMATA, LANGUAGES AND COMBINATORICS
J2  - J AUTOM LANG COMB
VL  - 27
PY  - 2022
IS  - 1-3
SP  - 79
EP  - 90
PG  - 12
SN  - 1430-189X
DO  - 10.25596/jalc-2022-079
UR  - https://m2.mtmt.hu/api/publication/33573798
ID  - 33573798
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Mihálydeák, Tamás
ED  - Kar, Samarjit
ED  - Chakraborty, Mihir
ED  - Shi, Zhongzhi
TI  - Logical Treatment of Incomplete/Uncertain Information Relying on Different Systems of Rough Sets
T2  - Intelligence Science III
PB  - Springer Netherlands
SN  - 9783030748258
T3  - IFIP Advances in Information and Communication Technology, ISSN 1868-422X ; 623.
PY  - 2021
SP  - 66
EP  - 78
PG  - 13
DO  - 10.1007/978-3-030-74826-5_6
UR  - https://m2.mtmt.hu/api/publication/32874830
ID  - 32874830
AB  - The different systems of rough set theory treat uncertainty in special ways. There is a very important common property: all systems rely on given background knowledge and we cannot say more about an arbitrary set or about its members than its lower and upper approximations make possible. New membership relations have to be introduced. The semantics of classical logic is based on classical set theory. An important question: Is it possible to build logical systems with semantics relying on different versions of the theory of rough sets by using new membership relations? The paper gives an overview of first-order logical systems with partial semantics in order to show the influence of incomplete/uncertain information in logically valid inferences.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Nagy, Dávid
AU  - Mihálydeák, Tamás
AU  - Kádek, Tamás
ED  - Kar, Samarjit
ED  - Chakraborty, Mihir
ED  - Shi, Zhongzhi
TI  - Similarity-Based Rough Sets with Annotation Using Deep Learning
T2  - Intelligence Science III
PB  - Springer Netherlands
SN  - 9783030748258
T3  - IFIP Advances in Information and Communication Technology, ISSN 1868-422X ; 623.
PY  - 2021
SP  - 93
EP  - 102
PG  - 10
DO  - 10.1007/978-3-030-74826-5_8
UR  - https://m2.mtmt.hu/api/publication/32055117
ID  - 32055117
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kádek, Tamás
AU  - Mihálydeák, Tamás
TI  - Dealing with uncertainty: A rough-set-based approach with the background of classical logic
JF  - ANNALES MATHEMATICAE ET INFORMATICAE
J2  - ANN MATH INFORM
VL  - 53
PY  - 2021
SP  - 157
EP  - 168
PG  - 12
SN  - 1787-5021
DO  - 10.33039/ami.2021.02.005
UR  - https://m2.mtmt.hu/api/publication/32049481
ID  - 32049481
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Nagy, Dávid
AU  - Mihálydeák, Tamás
AU  - Kádek, Tamás
ED  - Bello, Rafael
ED  - Miao, Duoqian
ED  - Falcon, Rafael
ED  - Nakata, Michinori
ED  - Rosete, Alejandro
ED  - Ciucci, Davide
TI  - Similarity Based Granules
T2  - Rough Sets
PB  - Springer Netherlands
CY  - Cham
SN  - 9783030527044
T3  - Lecture Notes in Computer Science, ISSN 0302-9743 ; 12179.
PY  - 2020
SP  - 35
EP  - 47
PG  - 13
DO  - 10.1007/978-3-030-52705-1_3
UR  - https://m2.mtmt.hu/api/publication/31635889
ID  - 31635889
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Dávid
AU  - Mihálydeák, Tamás
AU  - Aszalós, László
TI  - Graph Approximation on Similarity Based Rough Sets
JF  - POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES
J2  - POLLACK PERIODICA
VL  - 15
PY  - 2020
IS  - 2
SP  - 25
EP  - 36
PG  - 12
SN  - 1788-1994
DO  - 10.1556/606.2020.15.2.3
UR  - https://m2.mtmt.hu/api/publication/31401245
ID  - 31401245
AB  - Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to one another and different from objects from other groups. In the authors previous works the possible usage of correlation in rough set theory were investigated. In rough set theory, two objects are treated as indiscernible if all of their attribute values are the same. A base set contains those objects that are indiscernible from one another. The partition, gained from the correlation clustering, can be understood as the system of base sets, as the clusters contain the typically similar objects (not just to a distinguished member) and it considers the real similarity among the objects. In this work the extension of this study is presented, using the method to approximate graphs representing similarity relations.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Battyányi, Péter
AU  - Mihálydeák, Tamás
AU  - Vaszil, György
ED  - McQuillan, Ian
ED  - Seki, Shinnosuke
TI  - Generalized Membrane Systems with Dynamical Structure, Petri Nets, and Multiset Approximation Spaces
T2  - Unconventional Computation and Natural Computation
VL  - 11493 LNCS
PB  - Springer Netherlands
CY  - Cham
SN  - 9783030193119
T3  - Lecture Notes in Computer Science, ISSN 0302-9743 ; 11493.
PY  - 2019
SP  - 15
EP  - 29
PG  - 15
DO  - 10.1007/978-3-030-19311-9_3
UR  - https://m2.mtmt.hu/api/publication/30843033
ID  - 30843033
N1  - Export Date: 11 October 2019
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Dávid
AU  - Aszalós, László
AU  - Mihálydeák, Tamás
TI  - Finding the representative in a cluster using correlation clustering
JF  - POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES
J2  - POLLACK PERIODICA
VL  - 14
PY  - 2019
IS  - 1
SP  - 15
EP  - 24
PG  - 10
SN  - 1788-1994
DO  - 10.1556/606.2019.14.1.2
UR  - https://m2.mtmt.hu/api/publication/30705802
ID  - 30705802
LA  - English
DB  - MTMT
ER  -