Developing a team performance prediction model: A rough sets approach
This paper presents a rough sets approach in developing a team performance prediction
model. To establish the prediction model, a dataset from an academic setting was obtained,
consisting of four predictor variables: prior academic achievement, personality types,
personality diversity, and software development methodology. In this study, four main steps
in rough set, including discretisation, reduct generation rules, generation of decision rules,
and evaluation were used to develop the prediction model. Two reduction algorithms; a …
model. To establish the prediction model, a dataset from an academic setting was obtained,
consisting of four predictor variables: prior academic achievement, personality types,
personality diversity, and software development methodology. In this study, four main steps
in rough set, including discretisation, reduct generation rules, generation of decision rules,
and evaluation were used to develop the prediction model. Two reduction algorithms; a …
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