Please use this identifier to cite or link to this item: doi:10.22028/D291-39907
Title: Group control for procedural rules: parameterized complexity and consecutive domains
Author(s): Yang, Yongjie
Dimitrov, Dinko
Language: English
Title: Frontiers of Computer Science
Volume: 18 (2024)
Issue: 3
Publisher/Platform: Springer Nature
Year of Publication: 2023
Free key words: group control by adding individuals
group identification
parameterized complexity
consecutive ones property
FPT
W[2]-hard
DDC notations: 330 Economics
Publikation type: Journal Article
Abstract: We consider GROUP CONTROL BY ADDING INDIVIDUALS (GCAI) in the setting of group identification for two procedural rules —the consensus-start-respecting rule and the liberal-start-respecting rule. It is known that GCAI for both rules are -hard, but whether they are fixed-parameter tractable with respect to the number of distinguished individuals remained open. We resolve both open problems in the affirmative. In addition, we strengthen the -hardness of GCAI by showing that, with respect to the natural parameter the number of added individuals, GCAI for both rules are -hard. Notably, the -hardness for the liberal-startrespecting rule holds even when restricted to a very special case where the qualifications of individuals satisfy the so-called consecutive ones property. However, for the consensus-startrespecting rule, the problem becomes polynomial-time solvable in this special case. We also study a dual restriction where the disqualifications of individuals fulfill the consecutive ones property, and show that under this restriction GCAI for both rules turn out to be polynomial-time solvable. Our reductions for showing -hardness also imply several algorithmic lower bounds.
DOI of the first publication: 10.1007/s11704-023-2700-1
URL of the first publication: https://journal.hep.com.cn/fcs/EN/10.1007/s11704-023-2700-1
Link to this record: urn:nbn:de:bsz:291--ds-399079
hdl:20.500.11880/35921
http://dx.doi.org/10.22028/D291-39907
ISSN: 2095-2236
Date of registration: 6-Jun-2023
Description of the related object: Supplementary files
Related object: https://academic.hep.com.cn//fileup/2095-2228/SUPPL/20230417092457_1.pdf
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Dinko Dimitrov
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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