First name
Guy
Last name
De Tré

Referencias

A Cohesion Measure for Improving the Weighting of Experts' subgroups in Large-scale Group Decision Making Clustering Methods
Author
Álvaro Labella
Rosa María Rodríguez
Guy De Tré
Luis Martínez
Year of publication
2019
Conference Name
IEEE International Conference on Fuzzy Systems 2019, 23-26 June, New Orleans (EEUU)
Pagination
264-269
Labella, Á., et al. “A Cohesion Measure For Improving The Weighting Of Experts' Subgroups In Large-Scale Group Decision Making Clustering Methods”. Ieee International Conference On Fuzzy Systems 2019, 23-26 June, New Orleans (Eeuu), 2019, pp. 264-269.
International Conference
Documento
proceedings_sinbad.pdf5.12 MB
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A consensus model for large scale using hesitant information
Author
Rosa María Rodríguez
Luis Martínez
Guy De Tré
Year of publication
2018
Conference Name
13th International FLINS conference
Volume
11
Pagination
198-204
Date Published
21-24 August
Publisher
World Scientific
Place Published
Belfast (UK)
ISBN Number
978-981-3273-22-1
URL
https://www.worldscientific.com/doi/abs/10.1142/9789813273238_0027
DOI
https://doi.org/10.1142/9789813273238_0027
Rodríguez, R. M., et al. “A Consensus Model For Large Scale Using Hesitant Information”. 21-24 AugustAD. 13Th International Flins Conference, World Scientific, 2018, pp. 198-204.
International Conference
Documento
2018-Rodriguez et al-FLINS.pdf282.71 KB
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A large scale consensus reaching process managing group hesitation
International Journal
Year of publication
2018
Author
Rosa María Rodríguez
Álvaro Labella
Guy De Tré
Luis Martínez
Publisher
Elsevier
Volume
159
Issue
1
Pagination
86-97
Keywords
"Large-scale GDM
DOI
10.1016/j.knosys.2018.06.009
Journal
Knowledge-Based Systems
Type of Work
11/2018
ISSN Number
0950-7051
URL
https://www.sciencedirect.com/science/article/pii/S0950705118303137
Rodríguez, R. M., et al. “A Large Scale Consensus Reaching Process Managing Group Hesitation”. Knowledge-Based Systems, Elsevier, 2018, pp. 86-97.
Documento
1-s2.0-S0950705118303137-main.pdf1.48 MB
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Cuartil
Q1
Índice de impacto
4.529
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