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Please use this identifier to cite or link to this item:http://hdl.handle.net/10281/35507
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| Authors: | Arcelli Fontana, F; Formato, F; Gerla, G |
| Title: | Fuzzy unification as a foundation of fuzzy logic programming |
| English abstract: | In the development of a fuzzy logic programming language fuzzy
uni cation assumes a central role Several proposals have been
made to give a formal and complete de nition of this operation
In this paper we propose three di erent kinds of uni cation in
the fuzzy context A fuzzy uni cation algorithm is presented ex
tending through similarity relations the uni cation algorithm of
Martelli Montanari used in the classical case An alternative ap
proach is proposed through a Quotient Uni cation based on an
equivalence relation which gives rise to equivalences classes that
can be used in logic programming to identify similar objects Then
Uni cation as Negotiation is described based on a more exible
form of uni cation with semantic constraints Finally three
fuzzy resolution rules are de ned based on the corresponding kinds
of fuzzy uni cation introduced |
| Keywords: | fuzzy logic programming, fuzzy unification, similarity relation |
| MIUR Subject : | Settore INF/01 - Informatica |
| ISO Language : | eng |
| Issue Date: | 1998 |
| Format: | A stampa |
| Referee: | Esperti anonimi |
| Circulation: | Rilevanza internazionale |
| Type: | Capitolo o saggio |
| Citation: | Arcelli Fontana, F., Formato, F., & Gerla, G. (1998). Fuzzy unification as a foundation of fuzzy logic programming. In Logic Programming and Soft Computing (pp. 51-68). Research Studies Press, Wiley. |
| Appears in Collections: | Pubblicazioni >03 - Contributo in libro
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE >03 - Contributo in libro
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