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A Summary on Fuzzy Probability Theory

2010 IEEE International Conference on Granular Computing, 2010
Fuzzy probability theory is an extension of probability theory to dealing with mixed probabilistic/non-probabilistic uncertainty. It provides a theoretical basis to model uncertainty which is only partly characterized by randomness and defies a pure probabilistic modeling with certainty due to a lack of trustworthiness or precision of the data or a ...
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Fuzzy Relations and Fuzzy Functions in Partial Fuzzy Set Theory

2017
In this paper, we will study partially-defined fuzzy relations i.e., fuzzy relations with membership functions that are not necessarily defined everywhere. We will handle them in a suitable framework that is a partial fuzzy set theory. It provides tools for dealing with undefined values of the membership by means of special operations based on the ...
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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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Galois theory for fuzzy fields

Fuzzy Sets and Systems, 2001
Let \(F/K\) be a field extension and let \(G(F/K)\) denote the Galois group of \(F/K\). In this paper the author develops a generalized form of the Galois connection between the intermediate fields of a field extension and the subgroups of \(G(F/K)\). In particular, the author extends the Galois connection to include fuzzy intermediate fields of \(F/K\)
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Subtypes in fuzzy type theory

Fuzzy Sets and Systems, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Ontological grounding of fuzzy theory

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005
A schema for the investigation of the philosophical grounding of fuzzy theory is proposed. In particular, the ontological grounding is investigated. It is shown that certain equivalences that exist in classical theory break down in fuzzy theory. In turn, this leads to the generation of new formulas and the laws of conservation fuzzy theory.
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Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions

Applied Soft Computing Journal, 2021
Tianrui Li, Hongmei Chen, Zhong Yuan
exaly  

Theory of fuzzy computation

International Journal of General Systems, 2015
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Three-Way Group Conflict Analysis Based on Pythagorean Fuzzy Set Theory

IEEE Transactions on Fuzzy Systems, 2020
Hamido Fujita   +2 more
exaly  

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