Results 31 to 40 of about 199,571 (343)
Iraqi Journal for Computer Science and Mathematics, 2022 This research analyses the correlation that exists between fuzzy T-ABSO and fuzzy socle. To answer this question, we define a new concept called, fuzzy socle T-ABSO submodules. Results showed many properties that satisfied the new notion.
Saad Saleem, Hatam Y. Khalaf
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The ⊛-composition of fuzzy implications: Closures with respect to properties, powers and families [PDF]
, 2015 Recently, Vemuri and Jayaram proposed a novel method of generating fuzzy implications from a given pair of fuzzy implications. Viewing this as a binary operation ⊛ on the set II of fuzzy implications they obtained, for the first time, a monoid structure (
Jayaram, Balasubramaniam, Vemuri, N R
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Generalized fuzzy Dishkant implications [PDF]
AIP Conference ProceedingsDimitrios S. Grammatikopoulos +1 more
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Evaluation of e-learning web sites using fuzzy axiomatic design based approach [PDF]
, 2009 High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality.
Arsenyan, Jbid +4 more
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Journal 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
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Bijective transformations of fuzzy implications – An algebraic perspective [PDF]
, 2016 Bijective transformations play an important role in generating fuzzy implications from fuzzy implications. In [Representations through a Monoid on the set of Fuzzy Implications, Fuzzy Sets and Systems, 247, 51–67], Vemuri and Jayaram proposed a monoid ...
Jayaram, Balasubramaniam, Vemuri, N R
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An Application of Classical Logic’s Laws in Formulas of Fuzzy Implications
Journal of Mathematics, 2020 The crucial role that fuzzy implications play in many applicable areas was our motivation to revisit the topic of them. In this paper, we apply classical logic’s laws such as De Morgan’s laws and the classical law of double negation in known formulas of ...
Dimitrios S. Grammatikopoulos +1 more
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On Fuzzy Negations Generated by Fuzzy Implications
Formalized Mathematics, 2020 Summary We continue in the Mizar system [2] the formalization of fuzzy implications according to the book of Baczyński and Jayaram “Fuzzy Implications” [1]. In this article we define fuzzy negations and show their connections with previously defined fuzzy implications [4] and [5] and triangular norms and conorms [6].
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Homomorphisms on the monoid of fuzzy implications and the iterative functional equation I(x,I(x,y))=I(x,y) [PDF]
, 2015 Recently, Vemuri and Jayaram proposed a novel method of generating fuzzy implications, called the ⊛⊛-composition, from a given pair of fuzzy implications [Representations through a Monoid on the set of Fuzzy Implications, Fuzzy Sets and Systems, 247, 51 ...
Jayaram, Balasubramaniam, Vemuri, N R
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Fuzzy decision implications: interpretation within fuzzy decision context
CAAI 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
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