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

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Algorithmic Decision Theory - 6th International Conference, ADT 2019, Proceedings
Editors	Saša Pekec, Kristen Brent Venable
Pages	97-111
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-030-31489-7_7
State	Published - 2019
Event	6th International Conference on Algorithmic Decision Theory, ADT 2019 - Durham, United States Duration: Oct 25 2019 → Oct 27 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11834 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Algorithmic Decision Theory, ADT 2019
Country/Territory	United States
City	Durham
Period	10/25/19 → 10/27/19

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

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

Cite this

Liu, X., & Truszczynski, M. (2019). New complexity results on aggregating lexicographic preference trees using positional scoring rules. In 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).

Research output: Chapter or Contribution to Book › Literary contribution

Liu, X & Truszczynski, M 2019, New complexity results on aggregating lexicographic preference trees using positional scoring rules. in 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. In Pekec S, Venable KB, editors, 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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New complexity results on aggregating lexicographic preference trees using positional scoring rules

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this