TY  - JOUR
AU  - Biró, Tamás Sándor
AU  - Telcs, András
AU  - Jakovác, Antal
TI  - Analogies and Relations between Non-Additive Entropy Formulas and Gintropy
JF  - ENTROPY
J2  - ENTROPY-SWITZ
VL  - 26
PY  - 2024
IS  - 3
PG  - 9
SN  - 1099-4300
DO  - 10.3390/e26030185
UR  - https://m2.mtmt.hu/api/publication/34765018
ID  - 34765018
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Dombi, József
AU  - Jónás, Tamás
TI  - Learning the weights using attribute order information for multi-criteria decision making tasks
JF  - OPSEARCH
J2  - OPSEARCH
VL  - 61
PY  - 2024
IS  - 4
SP  - 2379
EP  - 2409
PG  - 33
SN  - 0030-3887
DO  - 10.1007/s12597-024-00779-9
UR  - https://m2.mtmt.hu/api/publication/34842667
ID  - 34842667
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - El Archi, Y.
AU  - Benbba, B.
AU  - Nizamatdinova, Z.
AU  - Issakov, Y.
AU  - Vargáné Gálicz, Ivett
AU  - Dávid, Lóránt Dénes
TI  - Systematic literature review analysing smart tourism destinations in context of sustainable development. current applications and future directions
TS  - current applications and future directions
JF  - SUSTAINABILITY
J2  - SUSTAINABILITY-BASEL
VL  - 15
PY  - 2023
IS  - 6
PG  - 15
SN  - 2071-1050
DO  - 10.3390/su15065086
UR  - https://m2.mtmt.hu/api/publication/33698147
ID  - 33698147
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Hajduk, Slawomira
AU  - Jelonek, Dorota
TI  - A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy
JF  - ENERGIES
J2  - ENERGIES
VL  - 14
PY  - 2021
IS  - 9
PG  - 23
SN  - 1996-1073
DO  - 10.3390/en14092691
UR  - https://m2.mtmt.hu/api/publication/32385045
ID  - 32385045
AB  - This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.
LA  - English
DB  - MTMT
ER  -