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dc.contributor.authorMadrid Labrador, Nicolás Miguel 
dc.contributor.authorOjeda Aciego, Manuel
dc.contributor.otherMatemáticases_ES
dc.date.accessioned2026-01-23T08:21:32Z
dc.date.available2026-01-23T08:21:32Z
dc.date.issued2023
dc.identifier.issn1099-1476
dc.identifier.issn0170-4214
dc.identifier.urihttp://hdl.handle.net/10498/38431
dc.description.abstractFuzzy 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 inconsis- tency 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 con- sistency 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.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley and Sons Ltdes_ES
dc.sourceMathematical Methods in the Applied Sciences - 2023, vol. 46, nº 15, pp. 15982 - 15995es_ES
dc.subjectInconsistencyes_ES
dc.subjectFuzzy logices_ES
dc.subjectMeasure of consistencyes_ES
dc.titleA measure of consistency for fuzzy logic theorieses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1002/mma.7470
dc.relation.projectIDPGC2018-095869-B-I00es_ES
dc.type.hasVersionSMURes_ES


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