Results 11 to 20 of about 75,324 (298)

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

On the first place antitonicity in QL-implications [PDF]

open access: yes, 2008
To obtain a demanded fuzzy implication in fuzzy systems, a number of desired properties have been proposed, among which the first place antitonicity, the second place isotonicity and the boundary conditions are the most important ones.
Shi, Yun   +3 more
core   +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

Analysis of Fuzzy Implication

open access: yesSSRN Electronic Journal, 2023
Fuzzy logic (fuzzy sets) possesses some widespread application in decision-making due to its ability to handle uncertainties in the implemented data and information. The application of fuzzy logic in decision-making usually involves the design of fuzzy rule-based systems.
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

Pseudo Overlap Functions, Fuzzy Implications and Pseudo Grouping Functions with Applications

open access: yesAxioms, 2022
Overlap and grouping functions are important aggregation operators, especially in information fusion, classification and decision-making problems. However, when we do more in-depth application research (for example, non-commutative fuzzy reasoning ...
Xiaohong Zhang   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy