Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/26177

TítuloUncertainty components in performance measures
Autor(es)Sousa, Sérgio
Nunes, Eusébio P.
Lopes, Isabel da Silva
Palavras-chaveData quality
Fuzzy sets
Performance measurement
Performance measures
Quality management
Risk management
Uncertainty
Data2013
EditoraSpringer
RevistaLecture Notes in Electrical Engineering
Resumo(s)Data quality is a multi-dimensional concept and this research will explore its impact in performance measurement systems (PMSs). Despite the large numbers of publications on the design of PMSs and the definition of critical success factors to develop Performance Measures (PMs), from the data user perspective there are possibilities of finding data quality problems, that may have a negative impact in decision making. This work identifies and classifies uncertainty components of PMSs, and proposes a qualitative method for PMs’ quality assessment. Fuzzy PMs are used to represent uncertainty that is present in any physical system. A method is also proposed to calculate an indicator of the compliance between a fuzzy PM and its target value, that can serve as a risk indicator for the decision-maker.
TipoArtigo em ata de conferência
DescriçãoSerie : Lecture notes in electrical engineering, vol. 229
URIhttps://hdl.handle.net/1822/26177
ISBN978-94-007-6189-6
DOI10.1007/978-94-007-6190-2-57
ISSN1876-1100
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:LES/ALG - Capítulos de livros

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