Agradecimentos: This study is supported by the National Natural Science Foundation of China (71390523 and 71471137). The authors would like to thank the editor and four anonymous reviewers for the insightful comments and suggestions on the earlier version of this paper

This work develops an instrument for evaluating projects – a range of numerical measurement in degrees – which includes a set of attributes of complexity and uncertainty variables in projects. Through theoretical foundations, we identified a set of variables that represent the attributes complexity...

This work develops an instrument for evaluating projects – a range of numerical measurement in degrees – which includes a set of attributes of complexity and uncertainty variables in projects. Through theoretical foundations, we identified a set of variables that represent the attributes complexity and uncertainty. This set of variables was evaluated by 32 project managers who, through a questionnaire, validated two groups of 14 variables, one for each attribute, which were analyzed through multivariate statistical techniques – the Multidimensional Scaling and Cluster Analysis. The analysis results showed that 10 variables have greater adhesion to each one of the attributes, therefore they became part of the range measurement. This analysis also allowed establishing a criterion for calculating the scores to form that scale, resulting in the production of a matrix that converges to the classification of attributes into a single point in relation to the complexity and uncertainty of projects

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