作者: Sérgio Dinis Teixeira de Sousa , Eusébio Manuel Pinto Nunes , Isabel da Silva Lopes
DOI: 10.1007/978-94-007-6190-2_57
关键词: Data quality 、 Computer science 、 Critical success factor 、 Sensitivity analysis 、 Risk analysis (engineering) 、 Quality management 、 Risk management 、 Performance measurement 、 Fuzzy set 、 Uncertainty analysis
摘要: 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 design PMSs definition critical success factors to develop Performance Measures (PMs), from data user perspective there are possibilities finding problems, that may have negative decision making. This work identifies classifies uncertainty components PMSs, proposes qualitative method for PMs’ assessment. Fuzzy PMs used represent present any physical system. A also proposed calculate an indicator compliance between fuzzy PM target value, can serve as risk decision-maker.