A Fuzzy Logic Programming Environment for Managing Similarity and Truth Degrees
A Fuzzy Logic Programming Environment for Managing Similarity and Truth Degrees
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用于管理相似度和真实度的模糊逻辑编程环境
DOI:
10.4204/eptcs.173.6
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
C. Vázquez
中科院分区:
文献类型:
--
作者:
Pascual Julián Iranzo;Ginés Moreno;J. Penabad;C. Vázquez
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.