Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/35253
Título: | Graph theory approach to quantify uncertainty of performance measures |
Autor(es): | Sousa, Sérgio Lopes, Isabel da Silva Nunes, Eusébio P. |
Palavras-chave: | Data Quality Uncertainty Graph theory Performance Measures Risk determination |
Data: | 2015 |
Editora: | University of Montenegro. Center for Quality |
Revista: | International Journal for Quality Research |
Citação: | Sousa, S. D; Lopes, I.S. and Nunes, E. P., (2015), Graph theory approach to quantify uncertainty of performance measures, International Journal for Quality Research, Vol. 9 Iss1 pp37-50, ISSN 1800-6450. |
Resumo(s): | In this work, the performance measurement process is studied to quantify the uncertainty induced in the resulting performance measure (PM). To that end, the causes of uncertainty are identified, analysing the activities undertaken in the three following stages of the performance measurement process: design and implementation, data collection and record, and determination and analysis. A quantitative methodology based on graph theory and on the sources of uncertainty of the performance measurement process is used to calculate an uncertainty index to evaluate the level of uncertainty of a given PM or (key) performance indicator. An application example is presented. The quantification of PM uncertainty could contribute to better represent the risk associated with a given decision and also to improve the PM to increase its precision and reliability. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/35253 |
ISSN: | 1800 - 6450 |
Versão da editora: | http://www.ijqr.net/journal/v9-n1/3.pdf |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | LES/ALG - Artigos em revistas científicas internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ijqr_3.pdf | documento principal | 478,09 kB | Adobe PDF | Ver/Abrir |