Petr Iakovlevitch Ekel

Prof. Petr Iakovlevitch Ekel

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2024 in Entropy
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Journal Article
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MLMatheus Libório
Matheus Libório
RKRoxani Karagiannis
Roxani Karagiannis
ADALEXANDRE DINIZ
ALEXANDRE DINIZ
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
DVDouglas Vieira
Douglas Vieira
LRLaura Cozzi Ribeiro
Laura Cozzi Ribeiro
This research offers a solution to a highly recognized and controversial problem within the composite indicator literature: sub-indicators weighting. The research proposes a novel hybrid weighting method that maximizes the discriminating power of the composite indicator with objectively defined weights. It considers the experts’ uncertainty concerning the conceptual importance of sub-indicators in the multidimensional phenomenon, setting maximum and minimum weights (constraints) in the optimization function. The hybrid weighting scheme, known as the SAW-Max-Entropy method, avoids attributing weights that are incompatible with the multidimensional phenomenon’s theoretical framework. At the same time, it reduces the influence of assessment errors and judgment biases on composite indicator scores. The research results show that the SAW-Max-Entropy weighting scheme achieves greater discriminating power than weighting schemes based on the Entropy Index, Expert Opinion, and Equal Weights. The SAW-Max-Entropy method has high application potential due to the increasing use of composite indicators across diverse areas of knowledge. Additionally, the method represents a robust response to the challenge of constructing composite indicators with superior discriminating power.

24 November 2007 in Applied Mathematics and Computation
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Journal Article
Closed access
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
JMJ.S.C. Martini
J.S.C. Martini
RPReinaldo Palhares
Reinaldo Palhares

12 August 2022 in Social Indicators Research
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Journal Article
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LILibório
Libório
MLMatheus Libório
Matheus Libório
DSda Silva
da Silva
LSLívia Maria Leite Silva
Lívia Maria Leite Silva
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
PBPatricia Bernardes
Patricia Bernardes

30 October 2022 in Quality & Quantity
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AMAlexei Machado
Alexei Machado
AMAlexei Manso
Alexei Manso
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
LILibório
Libório
MLMatheus Libório
Matheus Libório

1 July 2005 in Computers & Mathematics with Applications
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Journal Article
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RPReinaldo Palhares
Reinaldo Palhares
CCC.D. Campos
C.D. Campos
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
MLM.C.R. Leles
M.C.R. Leles
MDM.F.S.V. D'Angelo
M.F.S.V. D'Angelo
This paper proposes an optimization-based approach to the robust H∞ control problem of uncertain continuous or discrete-time linear time-invariant systems with different time-varying delays in the state vector and control input of the dynamic equation and controlled output. Sufficient delay-dependent conditions are derived for the control stabilization problem, where both the size of the time-varying delay and the size of its time derivative (in the continuous-time case) play a crucial role for the closed-loop stability with a guaranteed H∞ performance index. The solutions that are proposed for the H∞ control problem are similar or less conservative, when compared to other recent approaches.

23 August 2021 in Quality & Quantity
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Journal Article
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PBPatricia Bernardes
Patricia Bernardes
PEPetr Iakovlevitch Ekel
Petr Iakovlevitch Ekel
SRSérgio Fernando Loureiro Rezende
Sérgio Fernando Loureiro Rezende
JJJoel Gomes Pereira Júnior
Joel Gomes Pereira Júnior
ASAngélica Cidália Gouveia dos Santos
Angélica Cidália Gouveia dos Santos
MLMatheus Libório
Matheus Libório