2020/01/29 by Sicui Zhang, Laura Genga, Zhang, Sicui +10
Business, Management and Accounting · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Flexible and Reconfigurable Manufacturing Systems #Safety Systems Engineering in Autonomy #cs.AI
paper · pdf · doi:10.48550/arxiv.2001.10730
15 pages, 5 figures
arxiv created 2020/01/29 · openalex publication_date 2020/01/29 · arxiv updated 2020/01/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Conformance checking techniques are widely adopted to pinpoint possible discrepancies between process models and the execution of the process in reality. However, state of the art approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. This affects the quality of the provided diagnostics, especially when there exists some tolerance with respect to reasonably small violations, and hampers the flexibility of the process. In this work, we propose a novel approach which allows to represent actors' tolerance with respect to violations and to account for severity of deviations when assessing executions compliance. We argue that besides improving the quality of the provided diagnostics, allowing some tolerance in deviations assessment also enhances the flexibility of conformance checking techniques and, indirectly, paves the way for improving the resilience of the overall process management system.