Fuzzy logic and higher-order vagueness
In Petr Cintula, Chris Fermüller, Lluis Godo & Petr Hájek (eds.), Logical Models of Reasoning with Vague Information (forthcoming)
| Abstract | The major reason given in the philosophical literature for dissatisfaction with theories of vagueness based on fuzzy logic is that such theories give rise to a problem of higherorder vagueness or artificial precision. In this paper I first outline the problem and survey suggested solutions: fuzzy epistemicism; measuring truth on an ordinal scale; logic as modelling; fuzzy metalanguages; blurry sets; and fuzzy plurivaluationism. I then argue that in order to decide upon a solution, we need to understand the true nature and source of the problem. Two possible sources are discussed: the problem stems from the very nature of vagueness—from the defining features of vague predicates; or the problem stems from the way in which the meanings of predicates are determined—by the usage of speakers together with facts about their environment and so on. I argue that the latter is the true source of the problem, and on this basis that fuzzy plurivaluationism is the correct solution. | |||||||||
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Diana Raffman (2009). Demoting Higher-Order Vagueness. In Sebastiano Moruzzi & Richard Dietz (eds.), Cuts and Clouds. Vaguenesss, its Nature and its Logic. Oxford University Press.
Peter Verdée & Stephan der Waart van Gulivank (2008). A Generic Framework for Adaptive Vague Logics. Studia Logica 90 (3):385 - 405.
Petr Hájek (2009). On Vagueness, Truth Values and Fuzzy Logics. Studia Logica 91 (3):367-382.
Giangiacomo Gerla (2005). Fuzzy Logic Programming and Fuzzy Control. Studia Logica 79 (2):231 - 254.
Christian Fermüller (2010). Review: Vagueness and Degrees of Truth. [REVIEW] Australasian Journal of Logic 9:1-9.
Vilém Novák (1987). First-Order Fuzzy Logic. Studia Logica 46 (1):87 - 109.
Nicholas J. J. Smith (2004). Vagueness and Blurry Sets. Journal of Philosophical Logic 33 (2):165-235.
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