Results 141 to 150 of about 16,963 (204)
Quality of basketballs of international level sports using an intelligent decision algorithm involving multiple experts. [PDF]
Mao C.
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An energy aware cluster inspired routing protocol using multi strategy improved crayfish optimization algorithm for guaranteeing green communication in IoT. [PDF]
Chithra R +3 more
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On Vagueness, Truth Values and Fuzzy Logics
Some aspects of vagueness as presented in Shapiro’s book Vagueness in Context [23] are analyzed from the point of fuzzy logic. Presented are some generalizations of Shapiro’s formal apparatus.
Petr Hájek
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Vague controller: A generalization of fuzzy logic controller
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
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.
B. Jack Copeland
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Validity in a logic that combines supervaluation and fuzzy logic based theories of vagueness
Abstract Supervaluationism and fuzzy logic are two complementary formalisms for reasoning with vague information. We study a framework for combining both approaches. Supervaluationism is modeled by a space of precisifications, essentially a Kripke structure.
Sebastian Krinninger
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Specifying vague requirements with a fuzzy logic based modeling framework
Proposes a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on the canonical form in test-score semantics and an extension of the notion of soft conditions. The trade-offs analysis of conflicting soft requirements is conducted using fuzzy multi-criteria optimization ...
J. Lee
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Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data [PDF]
The authors discuss how to address qualitative aspects and problems of imprecise and vague data in modelling dynamics of spread of epidemics. As a possible solution we propose superposition of fuzzy logic with lattice gas cellular automata.
B. Di Stefano +2 more
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The Inevitability of Vagueness in Fuzzy Logic
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
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