Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26177

TitleUncertainty components in performance measures
Author(s)Sousa, Sérgio
Nunes, Eusébio P.
Lopes, Isabel da Silva
KeywordsData quality
Fuzzy sets
Performance measurement
Performance measures
Quality management
Risk management
Uncertainty
Issue date2013
PublisherSpringer
JournalLecture Notes in Electrical Engineering
Abstract(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.
TypeConference paper
DescriptionSerie : Lecture notes in electrical engineering, vol. 229
URIhttp://hdl.handle.net/1822/26177
ISBN978-94-007-6189-6
DOI10.1007/978-94-007-6190-2-57
ISSN1876-1100
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:LES/ALG - Capítulos de livros

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