TY - GEN
T1 - Towards Multi-perspective Conformance Checking with Aggregation Operations
AU - Zhang, Sicui
AU - Genga, Laura
AU - Dekker, Lukas
AU - Nie, Hongchao
AU - Lu, Xudong
AU - Duan, Huilong
AU - Kaymak, Uzay
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Conformance checking techniques are widely adopted to validate process executions against a set of constraints describing the expected behavior. However, most approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. Furthermore, in the presence of multiple data constraints the overall deviation severity is assessed by summing up each single deviation. This approach easily leads to misleading diagnostics; furthermore, it does not take into account user’s needs, that are likely to differ depending on the context of the analysis. We propose a novel methodology based on the use of aggregation functions, to assess the level of deviation severity for a set of constraints, and to customize the tolerance to deviations of multiple constraints.
AB - Conformance checking techniques are widely adopted to validate process executions against a set of constraints describing the expected behavior. However, most approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. Furthermore, in the presence of multiple data constraints the overall deviation severity is assessed by summing up each single deviation. This approach easily leads to misleading diagnostics; furthermore, it does not take into account user’s needs, that are likely to differ depending on the context of the analysis. We propose a novel methodology based on the use of aggregation functions, to assess the level of deviation severity for a set of constraints, and to customize the tolerance to deviations of multiple constraints.
KW - Conformance checking
KW - Data perspective
KW - Fuzzy aggregation
UR - http://www.scopus.com/inward/record.url?scp=85086267241&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50146-4_17
DO - 10.1007/978-3-030-50146-4_17
M3 - Conference contribution
AN - SCOPUS:85086267241
SN - 9783030501457
T3 - Communications in Computer and Information Science
SP - 215
EP - 229
BT - Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
A2 - Lesot, Marie-Jeanne
A2 - Vieira, Susana
A2 - Reformat, Marek Z.
A2 - Carvalho, João Paulo
A2 - Wilbik, Anna
A2 - Bouchon-Meunier, Bernadette
A2 - Yager, Ronald R.
PB - Springer
T2 - 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
Y2 - 15 June 2020 through 19 June 2020
ER -