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      <dc:title>A measure of consistency for fuzzy logic theories</dc:title>
      <dc:creator>Madrid-Labrador, Nicolás Miguel</dc:creator>
      <dc:creator>Ojeda-Aciego, Manuel</dc:creator>
      <dc:subject>Lógica difusa</dc:subject>
      <dc:description>Fuzzy logic has shown to be a suitable framework to handle contradictions in which, unsurprisingly, the notion of inconsistency can be defined in different ways. This paper starts with a short survey of different ways to define the notion of inconsistency in fuzzy logic systems. As a result, we provide a first notion of inconsistency by means of the absence of models. Subsequently, we define two measures of consistency that belong purely to the fuzzy paradigm; in the sense that both measures coincide with the crisp notion of consistency when the set of truth values is {0, 1}. Accordingly, we can state that the two provided measures of consistence are notions of consistence based on degrees, bringing back the spirit of fuzzy logic into the notion of consistency.</dc:description>
      <dc:date>2025-10-15T08:38:35Z</dc:date>
      <dc:date>2025-10-15T08:38:35Z</dc:date>
      <dc:date>2023-10-01</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>N. Madrid and M. Ojeda-Aciego. A measure of consistency for fuzzy logic theories. Mathematical Methods in the Applied Sciences, 46:15982-15995, 2023</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/40240</dc:identifier>
      <dc:identifier>10.1002/mma.7470</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>Wiley</dc:publisher>
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