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A measure of consistency for fuzzy logic theories

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URI: http://hdl.handle.net/10498/38431

DOI: 10.1002/mma.7470

ISSN: 1099-1476

ISSN: 0170-4214

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Author/s
Madrid Labrador, Nicolás MiguelAuthority UCA; Ojeda Aciego, Manuel
Date
2023
Department
Matemáticas
Source
Mathematical Methods in the Applied Sciences - 2023, vol. 46, nº 15, pp. 15982 - 15995
Abstract
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 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.
Subjects
Inconsistency; Fuzzy logic; Measure of consistency
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