David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Kamp and Fine presented an influential argument against the use of fuzzy logic for linguistic semantics in 1975. However, the argument assumes that contradictions of the form "A and not A" have semantic value zero. The argument has been recently criticized because sentences of this form are actually not perceived as contradictory by naive speakers. I present new experimental evidence arguing that fuzzy logic still isn't useful for linguistic semantics even if we take such naive speaker judgements at face value. Specifically I show that naive speakers judge "A and not A" in the relevant cases as more true than "B and not A" even when A and B are judged to be equally true. A truth functional semantics such as fuzzy logic cannot account for these intuitions directly.
|Keywords||contradiction vagueness fuzzy logic|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
Reinhard Blutner, Emmanuel M. Pothos & Peter Bruza (2013). A Quantum Probability Perspective on Borderline Vagueness. Topics in Cognitive Science 5 (4):711-736.
Manuel Križ & Emmanuel Chemla (2015). Two Methods to Find Truth-Value Gaps and Their Application to the Projection Problem of Homogeneity. Natural Language Semantics 23 (3):205-248.
Similar books and articles
Giangiacomo Gerla (2005). Fuzzy Logic Programming and Fuzzy Control. Studia Logica 79 (2):231 - 254.
Nicholas J. J. Smith (2011). Fuzzy Logic and Higher-Order Vagueness. In Petr Cintula, Christian G. Fermüller, Lluis Godo & Petr Hájek (eds.), Understanding Vagueness: Logical, Philosophical and Linguistic Perspectives. College Publications 1--19.
Petr Hájek (2009). On Vagueness, Truth Values and Fuzzy Logics. Studia Logica 91 (3):367-382.
Merrie Bergmann (2008). An Introduction to Many-Valued and Fuzzy Logic: Semantics, Algebras, and Derivation Systems. Cambridge University Press.
Vilém Novák (1987). First-Order Fuzzy Logic. Studia Logica 46 (1):87 - 109.
L. A. Zadeh (1975). Fuzzy Logic and Approximate Reasoning. Synthese 30 (3-4):407-428.
Petr Hájek (2001). Fuzzy Logic and Arithmetical Hierarchy III. Studia Logica 68 (1):129-142.
Andrea Bonarini (ed.) (1996). New Trends in Fuzzy Logic: Proceedings of the Wilf '95, Italian Workshop on Fuzzy Logic, Naples, Italy, 21-22 September 1995'. [REVIEW] World Scientific.
Nicholas J. J. Smith (2004). Vagueness and Blurry Sets. Journal of Philosophical Logic 33 (2):165-235.
Timothy Williamson (1994). Vagueness. Routledge.
Christian Fermüller (2010). Review: Vagueness and Degrees of Truth. [REVIEW] Australasian Journal of Logic 9:1-9.
V. Di Gesù, F. Masulli & Alfredo Petrosino (eds.) (2006). Fuzzy Logic and Applications: 5th International Workshop, Wilf 2003, Naples, Italy, October 9-11, 2003: Revised Selected Papers. [REVIEW] Springer.
Achille C. Varzi (2003). Cut-Offs and Their Neighbors. In Jc Beall (ed.), Liars and Heaps: New Essays on Paradox. Clarendon Press 24–38.
Peter Verdée & Stephan der Waart van Gulivank (2008). A Generic Framework for Adaptive Vague Logics. Studia Logica 90 (3):385 - 405.
Added to index2010-09-30
Total downloads78 ( #54,803 of 1,907,890 )
Recent downloads (6 months)6 ( #126,502 of 1,907,890 )
How can I increase my downloads?