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Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models

机译:用于自动搜索模糊公式模型的Fuzzy XPath

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In this paper we deal with propositional fuzzy formulae containing several propositional symbols linked with connectives defined in a lattice of truth degrees more complex than Bool. Instead of focusing on satisfiability (i.e., proving the existence of at least one model) as usually done in a SAT/SMT setting, our interest moves to the problem of finding the whole set of models (with a finite domain) for a given fuzzy formula. We reuse a previous method based on fuzzy logic programming where the formula is conceived as a goal whose derivation tree, provided by our FLOPER tool, contains on its leaves all the models of the original formula, together with other interpretations. Next, we use the ability of the FuzzyXPath tool (developed in our research group with FLOPER) for exploring these derivation trees once exported in XML format, in order to discover whether the formula is a tautology, satisfiable, or a contradiction, thus reinforcing the bi-lateral synergies between FuzzyXPath and FLOPER.
机译:在本文中,我们处理命题模糊公式,该命题模糊公式包含多个命题符号,这些命题符号与在比布尔更为复杂的真度网格中定义的连接词链接。而不是像通常在SAT / SMT设置中那样关注可满足性(即证明至少存在一个模型),我们的兴趣转移到了为给定的模糊找到整个模型集(具有有限域)的问题。公式。我们重用了基于模糊逻辑编程的先前方法,其中公式被视为目标,由我们的FLOPER工具提供的推导树在其叶子上包含原始公式的所有模型以及其他解释。接下来,我们使用FuzzyXPath工具(在我们的研究小组中与FLOPER一起开发)的功能来探索这些以XML格式导出的派生树,以便发现公式是重言式,可满足的还是矛盾的,从而增强了公式的有效性。 FuzzyXPath和FLOPER之间的双向协同作用。

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