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Computer Science > Programming Languages

arXiv:1501.02034 (cs)
[Submitted on 9 Jan 2015]

Title:A Fuzzy Logic Programming Environment for Managing Similarity and Truth Degrees

Authors:Pascual Julián-Iranzo (Universidad de Castilla-La Mancha), Ginés Moreno (Universidad de Castilla-La Mancha), Jaime Penabad (Universidad de Castilla-La Mancha), Carlos Vázquez (Universidad de Castilla-La Mancha)
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Abstract:FASILL (acronym of "Fuzzy Aggregators and Similarity Into a Logic Language") is a fuzzy logic programming language with implicit/explicit truth degree annotations, a great variety of connectives and unification by similarity. FASILL integrates and extends features coming from MALP (Multi-Adjoint Logic Programming, a fuzzy logic language with explicitly annotated rules) and Bousi~Prolog (which uses a weak unification algorithm and is well suited for flexible query answering). Hence, it properly manages similarity and truth degrees in a single framework combining the expressive benefits of both languages. This paper presents the main features and implementations details of FASILL. Along the paper we describe its syntax and operational semantics and we give clues of the implementation of the lattice module and the similarity module, two of the main building blocks of the new programming environment which enriches the FLOPER system developed in our research group.
Comments: In Proceedings PROLE 2014, arXiv:1501.01693
Subjects: Programming Languages (cs.PL); Logic in Computer Science (cs.LO)
Cite as: arXiv:1501.02034 [cs.PL]
  (or arXiv:1501.02034v1 [cs.PL] for this version)
  https://doi.org/10.48550/arXiv.1501.02034
Journal reference: EPTCS 173, 2015, pp. 71-86
Related DOI: https://doi.org/10.4204/EPTCS.173.6

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Fri, 9 Jan 2015 04:00:25 UTC (227 KB)
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