Fuzzy Logic-based Software Tool for Business Process Model Complexity Assessment

The high complexity of business process models may negatively impact their quality and usability, and cause errors, costs, or even more serious damage to critical business processes when inefficient models are used. Therefore, in this study, we propose the fuzzy logic-based software tool to assess the complexity of business process models. This software tool uses the fuzzy inference system, in which rules are inferred from the existing business process model complexity metrics and their thresholds. However, the use of the fuzzy logic-based approach outperforms the existing approach based on crisp metric values and the weighted sum model by 30%, when the obtained results are compared to the expert judgment results. Fuzzy inference rules are similar to human reasoning and assume uncertain or borderline metric values by improving assessment results.