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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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Using Fuzzy Logic to Describe Vague Solid Models
, 2010 In the initial stages of a design process, information is intrinsically imprecise due to the vagueness of designers’ ideas and their lack of initial information. The geometric modeling capabilities provided by current CAD systems are unable to manipulate an initial rough model or objects the geometry of which is incomplete.
Angel A. Zaldivar +2 more
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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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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 +2 more
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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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, 2021 The study of quantification has become a significant area of research among logicians, philosophers, linguists, computer scientists, and others. Related to quantification, the form of generalized quantifiers is generally found in natural language. However, another type of quantifiers, which is called fuzzy and vague and they always need sort of proper ...
Harjit Singh
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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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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.
Λουκία Καρανικόλα +1 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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Fuzzy logic for phytosociology [PDF]
Vegetatio, 1993 This paper presents a logical description of the phytosociological typology. The vagueness of vegetation units, ascertained by many authors, has been explicated by means of formal tools developed by fuzzy set theory.
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