Results 11 to 20 of about 3,310 (264)

Three-Way Fuzzy Sets and Their Applications (III)

open access: yesAxioms, 2023
Three-way fuzzy inference is the theoretical basis of three-way fuzzy control. The proposed TCRI method is based on a Mamdani three-way fuzzy implication operator and uses one inference and simple composition operation.
Qingqing Hu, Xiaohong Zhang
doaj   +1 more source

Fuzzy Implication and Functional Dependency on Formal Context

open access: yesJurnal Matematika Integratif, 2020
Fuzzy formal concept analysis(FFCA) is a development of formal concept analysis(FCA) with the degree of relation between objects and attributes. Using FCA approach, we will investigate the condition logical implication for fuzzy functional dependency. We
Mohammad Deni Akbar, Yoshihiro Mizoguchi
doaj   +1 more source

Interval Information Content of Fuzzy Relation and the Application in the Fuzzy Implication Operators

open access: yesJournal of Mathematics, 2021
In rule optimization, some rule characteristics were extracted to describe the uncertainty correlations of fuzzy relations, but the concrete numbers cannot express correlations with uncertainty, such as “at least 0.1 and up to 0.5.” To solve this problem,
Yiying Shi
doaj   +1 more source

A Study of GD- Implications, a New Hyper Class of Fuzzy Implications

open access: yesMathematics, 2021
In this paper, we introduce and study the GD′-operations, which are a hyper class of the known D′-operations. GD′-operations are in fact D′-operations, that are generated not only from the same fuzzy negation.
Dimitrios S. Grammatikopoulos   +1 more
doaj   +1 more source

Research on intuitionistic fuzzy implications. Part 3 [PDF]

open access: yesNotes on IFS, 2023
Continuing the research from [1,2], here we give the lists of the intuitionistic fuzzy implications, introduced in [2], that satisfy at least one of two forms of Modus Ponens (MP) – a standard and a new one, called "mixed", forms.
Nora Angelova   +2 more
doaj   +1 more source

The use of fuzzy linear regression for the selection of the most appropriate fuzzy implication in a fly ash-based concrete model

open access: yesJournal of Engineering and Applied Science, 2023
In this research, fuzzy linear regression (FLR) method combined with three well-known fuzzy implications was implemented for evaluating the relation among the amount of fly ash in concrete mixture and the compressive strength of concrete.
Fani Gkountakou, Basil Papadopoulos
doaj   +1 more source

Invariant Fuzzy Implications [PDF]

open access: yesSoft Computing, 2005
Invariant binary operations on [0,1] are those that remain unchanged under an increasing transformation \(\varphi\) of [0,1], that is, \[ F_\varphi(x,y)=\varphi^{-1}(F(\varphi(x),\varphi(y)) = F(x,y) \] for \(x\) and \(y\) in \([0,1]\). In this paper, the author studies invariant fuzzy implications, and derives that there are exactly 18 such operations,
openaire   +2 more sources

A Fuzzy Implication-Based Approach for Validating Climatic Teleconnections

open access: yesMathematics, 2022
Fuzzy logic, during recent decades, has evolved into one of the most influential scientific fields. To an extent, this is due to its applications which have a profound impact on the daily life of people worldwide.
Stefanos Makariadis, Basil Papadopoulos
doaj   +1 more source

Generating of fuzzy implications [PDF]

open access: yesProceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
This paper deals with some dependencies between fuzzy connectives, on the pattern of laws in a classical propositional calculus, which allow to generate fuzzy implications. Fuzzy implications generated both by a triple: fuzzy conjunction, disjunction and negation, and by two fuzzy implications are considered.
openaire   +1 more source

Fuzzy decision implications: interpretation within fuzzy decision context

open access: yesCAAI Transactions on Intelligence Technology, 2019
Fuzzy decision implication is an extension of decision implication in the fuzzy setting, serving to uncover the dependencies of fuzzy attributes.
Jing Zhang, Yanhui Zhai, Deyu Li
doaj   +1 more source

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