Declarative and procedural semantics of fuzzy similarity based unification
Kybernetika (2000)
- Volume: 36, Issue: 6, page [707]-720
- ISSN: 0023-5954
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topVojtáš, Peter. "Declarative and procedural semantics of fuzzy similarity based unification." Kybernetika 36.6 (2000): [707]-720. <http://eudml.org/doc/33512>.
@article{Vojtáš2000,
abstract = {In this paper we argue that for fuzzy unification we need a procedural and declarative semantics (as opposed to the two valued case, where declarative semantics is hidden in the requirement that unified terms are syntactically – letter by letter – identical). We present an extension of the syntactic model of unification to allow near matches, defined using a similarity relation. We work in Hájek’s fuzzy logic in narrow sense. We base our semantics on a formal model of fuzzy logic programming extended by fuzzy similarities and axioms of predicate calculus with equality. Rules are many valued implications and not Horn clauses. We prove soundness and completeness of fuzzy similarity based unification.},
author = {Vojtáš, Peter},
journal = {Kybernetika},
keywords = {declarative semantics; fuzzy logic; fuzzy similarity; declarative semantics; fuzzy logic; fuzzy similarity},
language = {eng},
number = {6},
pages = {[707]-720},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Declarative and procedural semantics of fuzzy similarity based unification},
url = {http://eudml.org/doc/33512},
volume = {36},
year = {2000},
}
TY - JOUR
AU - Vojtáš, Peter
TI - Declarative and procedural semantics of fuzzy similarity based unification
JO - Kybernetika
PY - 2000
PB - Institute of Information Theory and Automation AS CR
VL - 36
IS - 6
SP - [707]
EP - 720
AB - In this paper we argue that for fuzzy unification we need a procedural and declarative semantics (as opposed to the two valued case, where declarative semantics is hidden in the requirement that unified terms are syntactically – letter by letter – identical). We present an extension of the syntactic model of unification to allow near matches, defined using a similarity relation. We work in Hájek’s fuzzy logic in narrow sense. We base our semantics on a formal model of fuzzy logic programming extended by fuzzy similarities and axioms of predicate calculus with equality. Rules are many valued implications and not Horn clauses. We prove soundness and completeness of fuzzy similarity based unification.
LA - eng
KW - declarative semantics; fuzzy logic; fuzzy similarity; declarative semantics; fuzzy logic; fuzzy similarity
UR - http://eudml.org/doc/33512
ER -
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