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General Fuzzy Answer Set Programs
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
A number of generalizations of answer set programming have
been proposed in the literature to deal with vagueness, uncertainty, and
partial rule satisfaction. We introduce a unifying framework that entails
most of the existing approaches to fuzzy answer set programming. In
this framework, rule bodies are dened using arbitrary fuzzy connectives
with monotone partial mappings. As an approximation of full answer
sets, k{answer sets are introduced to deal with con
icting information,
yielding a
exible framework that encompasses, among others, existing
work on valued constraint satisfaction and answer set optimization.
been proposed in the literature to deal with vagueness, uncertainty, and
partial rule satisfaction. We introduce a unifying framework that entails
most of the existing approaches to fuzzy answer set programming. In
this framework, rule bodies are dened using arbitrary fuzzy connectives
with monotone partial mappings. As an approximation of full answer
sets, k{answer sets are introduced to deal with con
icting information,
yielding a
exible framework that encompasses, among others, existing
work on valued constraint satisfaction and answer set optimization.
Boek: Lecture Notes in Computer Science
Series: Lecture Notes in Computer Science
Volume: 5571
Pagina's: 352-359
Aantal pagina's: 8
ISBN:978-3-642-02281-4
Jaar van publicatie:2009
Trefwoorden:Answer Set Programs, Fuzzy Logic, Valued Constraint Satisfac- tion