New complexity results on aggregating lexicographic preference trees using positional scoring rules

Xudong Liu; Miroslaw Truszczynski

doi:10.1007/978-3-030-31489-7_7

New complexity results on aggregating lexicographic preference trees using positional scoring rules

Xudong Liu, Miroslaw Truszczynski

School of Computing

Producción científica: Literary contribution

Idioma original	English
Título de la publicación alojada	Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings
Editores	Saša Pekec, Kristen Brent Venable
Páginas	97-111
Número de páginas	15
DOI	https://doi.org/10.1007/978-3-030-31489-7_7
Estado	Published - 2019
Evento	6th International Conference on Algorithmic Decision Theory, ADT 2019 - Durham, United States Duración: oct 25 2019 → oct 27 2019

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11834 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	6th International Conference on Algorithmic Decision Theory, ADT 2019
País/Territorio	United States
Ciudad	Durham
Período	10/25/19 → 10/27/19

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Acceder al documento

10.1007/978-3-030-31489-7_7

Otros archivos y enlaces

Citar esto

Liu, X., & Truszczynski, M. (2019). New complexity results on aggregating lexicographic preference trees using positional scoring rules. En S. Pekec, & K. B. Venable (Eds.), Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings (pp. 97-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11834 LNAI). https://doi.org/10.1007/978-3-030-31489-7_7

New complexity results on aggregating lexicographic preference trees using positional scoring rules. / Liu, Xudong; Truszczynski, Miroslaw.
Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings. ed. / Saša Pekec; Kristen Brent Venable. 2019. p. 97-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11834 LNAI).

Producción científica: Literary contribution

Liu, X & Truszczynski, M 2019, New complexity results on aggregating lexicographic preference trees using positional scoring rules. En S Pekec & KB Venable (eds.), Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11834 LNAI, pp. 97-111, 6th International Conference on Algorithmic Decision Theory, ADT 2019, Durham, United States, 10/25/19. https://doi.org/10.1007/978-3-030-31489-7_7

Liu X, Truszczynski M. New complexity results on aggregating lexicographic preference trees using positional scoring rules. En Pekec S, Venable KB, editores, Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings. 2019. p. 97-111. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-31489-7_7

Liu, Xudong ; Truszczynski, Miroslaw. / New complexity results on aggregating lexicographic preference trees using positional scoring rules. Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings. editor / Saša Pekec ; Kristen Brent Venable. 2019. pp. 97-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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