bibtype J - Journal Article
ARLID 0397466
utime 20240103203114.3
mtime 20140618235959.9
WOS 000334087400005
DOI 10.1016/j.ijar.2013.07.003
title (primary) (eng) Decision-theoretic troubleshooting: Hardness of approximation
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0256774
ISSN 0888-613X
title International Journal of Approximate Reasoning
volume_id 55
volume 4 (2014)
page_num 977-988
publisher
name Elsevier
keyword Decision-theoretic troubleshooting
keyword Hardness of approximation
keyword NP-completeness
author (primary)
ARLID cav_un_auth*0272969
name1 Lín
name2 Václav
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
project
project_id GA13-20012S
agency GA ČR
ARLID cav_un_auth*0292670
abstract (eng) Decision-theoretic troubleshooting is one of the areas to which Bayesian networks can be applied. Given a probabilistic model of a malfunctioning man-made device, the task is to construct a repair strategy with minimal expected cost. The problem has received considerable attention over the past two decades. Efficient solution algorithms have been found for simple cases, whereas other variants have been proven NP-complete. We study several variants of the problem found in literature, and prove that computing approximate troubleshooting strategies is NP-hard. In the proofs, we exploit a close connection to set-covering problems.
reportyear 2015
RIV BB
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0225901
confidential S
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE
mrcbT16-j 0.683
mrcbT16-s 1.460
mrcbT16-4 Q1
mrcbT16-B 58.39
mrcbT16-C 81.707
mrcbT16-D Q2
mrcbT16-E Q1
arlyear 2014
mrcbU34 000334087400005 WOS
mrcbU63 cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 55 č. 4 2014 977 988 Elsevier