Results 191 to 200 of about 17,558 (240)
International Journal of General Systems, 1995 This is a selective summary of work done by philosophers on the concept of vagueness (or fuzziness) accompanied by a selective annotated bibliography organized topically. The main topics covered are: the sorites paradox, the semantic technique of supervaluations, the definition of first-order and higher-order borderline cases by means of a determinacy ...
David H. Sanford
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Formal Fuzzy Logic and Its Use in Modeling of Vagueness and Computing with Words
, 2003 In this paper, a brief overview of fundamental concepts of the formal fuzzy logic are presented and some of its applications are pointed out.
Vilém Novák
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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.
Siegfried Gottwald
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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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Fuzzy Logic as a Theory of Vagueness: 15 Conceptual Questions
, 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
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Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data
2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492), 2002 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, H. Fuks, A.T. Lawniczak
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Integration of Fuzzy Logic in Data Mining to Handle Vagueness and Uncertainty
, 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 +3 more
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, 1997 In most of the practical applications the concept of vague environment [1] gives a simple way for fuzzy approximate reasoning. If the fuzzy partitions (used as primary sets of the fuzzy rulebase) can be described by vague environments [1], the primary fuzzy sets of the antecedent and the consequent parts of the fuzzy rules can be characterised by ...
Szilveszter Kovács, László T. Kóczy
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Specifying vague requirements with a fuzzy logic based modeling framework
, 2002 J. Lee
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