Ghent University Academic Bibliography

Advanced

Aggregated fuzzy answer set programming

Jeroen Janssen UGent, Steven Schockaert UGent, Dirk Vermeir and Martine De Cock UGent (2011) ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. 63(2). p.103-147
abstract
Fuzzy Answer Set programming (FASP) is an extension of answer set programming (ASP), based on fuzzy logic. It allows to encode continuous optimization problems in the same concise manner as ASP allows to model combinatorial problems. As a result of its inherent continuity, rules in FASP may be satisfied or violated to certain degrees. Rather than insisting that all rules are fully satisfied, we may only require that they are satisfied partially, to the best extent possible. However, most approaches that feature partial rule satisfaction limit themselves to attaching predefined weights to rules, which is not sufficiently flexible for most real-life applications. In this paper, we develop an alternative, based on aggregator functions that specify which (combination of) rules are most important to satisfy. We extend upon previous work by allowing aggregator expressions to define partially ordered preferences, and by the use of a fixpoint semantics.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
INFORMATION, OPERATORS, UNCERTAINTY, Fuzzy Logic, Answer Set Programming
journal title
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
Ann. Math. Artif. Intell.
volume
63
issue
2
pages
103 - 147
Web of Science type
Article
Web of Science id
000303800900001
JCR category
MATHEMATICS, APPLIED
JCR impact factor
0.358 (2011)
JCR rank
211/245 (2011)
JCR quartile
4 (2011)
ISSN
1012-2443
DOI
10.1007/s10472-011-9256-8
project
Bioinformatics: from nucleotids to networks (N2N)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2917819
handle
http://hdl.handle.net/1854/LU-2917819
date created
2012-06-25 11:47:08
date last changed
2013-02-27 09:11:05
@article{2917819,
  abstract     = {Fuzzy Answer Set programming (FASP) is an extension of answer set programming (ASP), based on fuzzy logic. It allows to encode continuous optimization problems in the same concise manner as ASP allows to model combinatorial problems. As a result of its inherent continuity, rules in FASP may be satisfied or violated to certain degrees. Rather than insisting that all rules are fully satisfied, we may only require that they are satisfied partially, to the best extent possible. However, most approaches that feature partial rule satisfaction limit themselves to attaching predefined weights to rules, which is not sufficiently flexible for most real-life applications. In this paper, we develop an alternative, based on aggregator functions that specify which (combination of) rules are most important to satisfy. We extend upon previous work by allowing aggregator expressions to define partially ordered preferences, and by the use of a fixpoint semantics.},
  author       = {Janssen, Jeroen and Schockaert, Steven and Vermeir, Dirk and De Cock, Martine},
  issn         = {1012-2443},
  journal      = {ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE},
  keyword      = {INFORMATION,OPERATORS,UNCERTAINTY,Fuzzy Logic,Answer Set Programming},
  language     = {eng},
  number       = {2},
  pages        = {103--147},
  title        = {Aggregated fuzzy answer set programming},
  url          = {http://dx.doi.org/10.1007/s10472-011-9256-8},
  volume       = {63},
  year         = {2011},
}

Chicago
Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, and Martine De Cock. 2011. “Aggregated Fuzzy Answer Set Programming.” Annals of Mathematics and Artificial Intelligence 63 (2): 103–147.
APA
Janssen, Jeroen, Schockaert, S., Vermeir, D., & De Cock, M. (2011). Aggregated fuzzy answer set programming. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 63(2), 103–147.
Vancouver
1.
Janssen J, Schockaert S, Vermeir D, De Cock M. Aggregated fuzzy answer set programming. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. 2011;63(2):103–47.
MLA
Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, et al. “Aggregated Fuzzy Answer Set Programming.” ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 63.2 (2011): 103–147. Print.