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Fuzzy Set Theory

2015
This chapter aims to present the main concepts and mathematical notions of the fuzzy set theory (also called fuzzy logic or fuzzy logic theory) which are necessary for the understanding of this work. It also gives a non exhaustive overview of the application domains where the fuzziness has been successfully applied.
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Fuzzy set theory. The concept of fuzzy sets

2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015
The article provides information about fuzzy sets: its history, definitions, operations. Review of set theory and is accompanied by a choice task, provides a solution to one of the options.
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Uninorms in L∗-fuzzy set theory

Fuzzy Sets and Systems, 2004
The paper offers an extension of some fundamental concepts of the t-norms and aggregation operators theory to the conceptual context of interval-valued fuzzy set theory. The approach follows from the representation of the above fuzzy set theories by means of \(L^*\) lattices. The extension is considered with respect to the concepts of t-norm, t-conorm,
Deschrijver, Glad, Kerre, Etienne E.
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Intuitionistic Fuzzy Sets - Theory and Applications

Studies in Fuzziness and Soft Computing, 1999
K. Atanassov
semanticscholar   +1 more source

On Fuzzy Set Theories

2007
This paper analyzes some of the main issues involved in the construction of fuzzy set theories. It reviews both standard solutions (based on the well-known t-norms and t-conorms), as well as less conventional proposals that provide alternative views on, e.g. the definition of fuzzy connectives and the study of their properties.
Ana Pradera   +3 more
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Fuzzy sets and systems: theory and applications

Mathematics in Science and Engineering, 2011
D. Dubois, H. Prade
semanticscholar   +1 more source

Possibility Theory,Probability Theory,and Fuzzy Set Theory

1991
Since L. Zadeh proposed the concept of a fuzzy set in 1965, the relationships between probability theory and fuzzy set theory have been further discussed. Both theories seem to be similar in the sense that both are concerned with some type of uncertainty and both use the [0, 1] interval for their measures as the range of their respective functions (At ...
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On Intuitionistic Fuzzy Sets Theory

Studies in Fuzziness and Soft Computing, 2012
K. Atanassov
semanticscholar   +1 more source

Traffic flow data forecasting based on interval type-2 fuzzy sets theory

IEEE/CAA Journal of Automatica Sinica, 2016
Runmei Li   +3 more
semanticscholar   +1 more source

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