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MAUT method – one in a multiple criteria decision-making methods
Lietuvos Matematikos Rinkinys, 2023 Multiple criteria decision-making methods enable to choose the optimal decision, if his criterions is contradictorys. In herein paper is describe MAUT – multiattribute utility theory. This method is reasoned in theory.
Rūta Simanavičienė
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ON ADDITIVE REPRESENTATION FUNCTIONS [PDF]
Bulletin of the Australian Mathematical Society, 2017 For any finite abelian group$G$with$|G|=m$,$A\subseteq G$and$g\in G$, let$R_{A}(g)$be the number of solutions of the equation$g=a+b$,$a,b\in A$. Recently, Sándor and Yang [‘A lower bound of Ruzsa’s number related to the Erdős–Turán conjecture’, Preprint, 2016,arXiv:1612.08722v1] proved that, if$m\geq 36$and$R_{A}(n)\geq 1$for all$n\in \mathbb{Z}_{m ...
YA-LI LI, YONG-GAO CHEN
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A Variant of Jensen’s Functional Equation on Semigroups
Demonstratio Mathematica, 2016 We determine the solutions f : S → H of the following functional ...
Fadli Brahim +2 more
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Additively decomposed quasiconvex functions [PDF]
Mathematical Programming, 1982 Letf be a real-valued function defined on the product ofm finite-dimensional open convex setsX1, ź,Xm. Assume thatf is quasiconvex and is the sum of nonconstant functionsf1, ź,fm defined on the respective factor sets. Then everyfi is continuous; with at most one exception every functionfi is convex; if the exception arises, all the other functions ...
Gerard Debreu, Tjalling C. Koopmans
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Increasing the accuracy of signal extraction by correcting the approximating function under conditions of a priori uncertainty [PDF]
E3S Web of Conferences, 2021 The paper discusses the issues of practical implementation of increasing the accuracy of signal extraction, which is achieved by eliminating the «flip» of the approximating function when dividing the measured process into intervals under conditions of a ...
Nikishin Ivan +3 more
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Research of the probability of the "flip" of approximating function during the processing of measurement results [PDF]
E3S Web of Conferences, 2019 The paper presents the results of the studies of the probability of a “flip” of the approximating function when processing the measurement results under conditions of a priori uncertainty about the signal function and the statistical characteristics of ...
Marchuk Vladimir +3 more
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Multivariate functional additive mixed models [PDF]
Statistical Modelling, 2021 Multivariate functional data can be intrinsically multivariate like movement trajectories in 2D or complementary such as precipitation, temperature and wind speeds over time at a given weather station. We propose a multivariate functional additive mixed model (multiFAMM) and show its application to both data situations using examples from sports ...
Volkmann, Alexander +3 more
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The inapproximability for the $(0,1)$-additive number [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 An additive labeling of a graph $G$ is a function $\ell :V(G) \rightarrow \mathbb{N}$, such that for every two adjacent vertices $v$ and $u$ of $G$, $\Sigma_{w \sim v} \ell (w) \neq \Sigma_{w \sim u} \ell (w)$ ($x \sim y$ means that $x$ is joined to $y$).
Arash Ahadi, Ali Dehghan
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Additive functions on trees [PDF]
Colloquium Mathematicum, 2001 Summary: The motivation for considering positive additive functions on trees was a characterization of extended Dynkin graphs (see \textit{I.~Reiten} [Notices Am. Math. Soc. 44, No. 5, 546-556 (1997; Zbl 0940.16009)]) and applications of additive functions in representation theory (see \textit{H.~Lenzing} and \textit{I.~Reiten} [Colloq. Math. 82, No. 1,
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Animal, 2007 In the first study, we tested the ability of a commercial feed additive (OmniGen-AF) to affect markers of innate immunity in immunosuppressed sheep and the ability of a pathogen challenge (mould) to affect the immune response to the additive.
Y. Wang +3 more
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