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The Inevitability of Vagueness in Fuzzy Logic

Lecture Notes in Computer Science, 2023
Fuzzy Logic, in its fuzzy control incarnation, can be as well seen as an answer to the belated question on how can an algorithm take in account the subtle variations in a complex system -- be it the simple and paradigmatic thermostat, the description of a traffic jam or the inner workings of a spaceship.
Marco Elio Tabacchi, Tabacchi Marco Elio
exaly   +4 more sources

Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions [PDF]

Studies in Fuzziness and Soft Computing, 2009
Fuzzy logic has successfully established itself as an engineering tool. Though its purpose and validity in any context were highly controversial in the early years, this initial criticism was defused by the practical success of fuzzy set theory, to a large degree under the name of “fuzzy logic”.
Jeremy Bradley
exaly   +3 more sources

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On Vagueness, Truth Values and Fuzzy Logics

Studia Logica, 2009
Several aspects of vagueness, as presented in \textit{S. Shapiro}'s book [Vagueness in context. Oxford: Oxford Univ. Press (2006)], are analyzed from the point of view of fuzzy logic. In this paper, the author presents some generalizations of Shapiro's formal apparatus, in particular he studies how it can be applied to fuzzy logic, possibly generalized
Petr Hajek
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Validity in a logic that combines supervaluation and fuzzy logic based theories of vagueness

Fuzzy Sets and Systems, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastian Krinninger
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Integration of Fuzzy Logic in Data Mining to Handle Vagueness and Uncertainty

Lecture Notes in Computer Science, 2008
Recent developments in the fields of business investment, scientific research and information technology have resulted in the collection of massive data which becomes highly useful in finding certain patterns governing the data source. Clustering algorithms are popular in finding hidden patterns and information from such repository of data.
G Raju, Raju G
exaly   +2 more sources

Vague controller: A generalization of fuzzy logic controller

International Journal of Systems Science, 1999
In this research, a vague controller (VC) is synthesized by using the notion of vague sets, which are a generalization of fuzzy sets and characterized by a truth-membership function and a falsity-membership function. The vague sets follow the basic set operations and logic operations defined for fuzzy sets, and are superior to fuzzy sets in that they ...
Cheng-Liang Chen, Chung-Tyan Hsieh
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Vague Identity and Fuzzy Logic

The Journal of Philosophy, 1997
Etude de la reduction a l'absurde de la these de l'indetermination de l'identite, operee par G. Evans contre la position de M. Dummett selon laquelle le monde reel obeit a la logique du vague. Analysant la methode deductive d'Evans en termes d'operations arithmetiques fondees sur des valeurs integrales (O, 1), l'A.
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A Tutorial to Clarify the Vague Image of Fuzzy Logic Control

IFAC Proceedings Volumes, 1997
Abstract Although Fuzzy Logic Control (FLC) is succesfully applied in a number of applications breaktrough of this technique is hindered. Potential users are seriously interested but they also hesitate to apply FLC because it should be a vague method and specialist knowledge should be required for implementation and maintenace.
A.J.B. van Boxtel, H. Gerritse, H. Veen
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Mathematical fuzzy logic as a tool for the treatment of vague information

Information Sciences, 2005
This nice state-of-art overview describes in 12 sections the main trends of the recent development of mathematical fuzzy logic. Special attention is paid to fuzzy logics as systems of formal logic constituted by a formalized language, by a semantics, and by a calculus for the derivation of formulas.
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A fuzzy logic approach for reasoning under uncertainty and vagueness - a matchmaking case study

2016 2nd International Conference on Information Management (ICIM), 2016
Matchmaking problems have been studied extensively in literature. Today's World Wide Web provides us with the ability to have access to a vast amount of data. The manual matchmaking cannot be considered a feasible solution and automatic methods by machines have been evolved.
Loukia Karanikola, Isambo Karali
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