Extended event–condition–action rules and fuzzy Petri nets based exception handling for workflow management

Yan, Yonghong; Jiang, Zhibin; Diao, Xiaodi; Du, Gang

doi:10.1016/j.eswa.2011.02.097

Cited by 26 publications

(6 citation statements)

References 23 publications

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“…A condition-event net (CEN), which is a basic Petri net, is composed of a condition (state), an event (transition), and a link (arrow) and is simple and easy to understand in contrast to other Petri nets that are used for process modelling [25,56]. However, it is difficult to represent the gateway of the BPMN model.…”

Section: Epn Model Specificationmentioning

confidence: 99%

A Petri Nets Evolution Method that Supports BPMN Model Changes

2021

Scientific Programming

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The correctness of the business process modelling notation (BPMN) is essential for software success, and the BPMN formalization is the foundation of the correctness verification process. However, dynamically adapting the formalized BPMN model to changes in the BPMN model and protecting tokens from being lost in the remapping formalization are the main limitations of the BPMN formalization under changing business requirements. To overcome these limitations, an approach for evolving a Petri nets model according to the BPMN changes is proposed in this paper. In this approach, a check algorithm is designed to identify the differences between the original BPMN model and the updated BPMN model. Then, the evolution rules of the extended Petri nets (EPN) model are defined according to the results of the checking program. Finally, these evolution rules are described in the query/view/transformation operational mapping (QVTo) language and implemented in the Eclipse platform. We demonstrate the effectiveness of the evolution of the BPMN formalization using a case study of the Web Payment business system. Moreover, the dynamic evolution of the BPMN formalization can maintain the consistency between the original model and the updated model, and this consistency has been successfully verified.

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Section: Epn Model Specificationmentioning

confidence: 99%

A Petri Nets Evolution Method that Supports BPMN Model Changes

2021

Scientific Programming

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“…Clinical pathway variance can be classified according to the source of variance [11], and the key problems related to clinical pathway variance analysis have been summarized [12]. Ye et al proposed a framework for semantics-based clinical pathway and variance management to enable the computerized implementation of clinical pathways [13], and proposed a hybrid exception handling approach based on a generalized fuzzy event-condition-action rule and a typed fuzzy Petri net extended by process knowledge [14]. Additionally, Ye et al [15] proposed an ontology-based approach of modeling clinical pathway workflows.…”

Section: Introductionmentioning

confidence: 99%

Variance Risk Identification and Treatment of Clinical Pathway by Integrated Bayesian Network and Association Rules Mining

Shi

Liu

et al. 2019

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With the continuous development of data mining techniques in the medical field, variance analysis in clinical pathways based on data mining approaches have attracted increasing attention from scholars and decision makers. However, studies on variance analysis and treatment of specific kinds of disease are still relatively scarce. In order to reduce the hazard of postpartum hemorrhage after cesarean section, we conducted a detailed analysis on the relevant risk factors and treatment mechanisms, adopting the integrated Bayesian network and association rule mining approaches. By proposing a Bayesian network model based on regression analysis, we calculated the probability of risk factors determining the key factors that result in postpartum hemorrhage after cesarean section. In addition, we mined a few association rules regarding the treatment of postpartum hemorrhage on the basis of different clinical features. We divided the risk factors into primary and secondary risk factors by realizing the classification of different causes of postpartum hemorrhage after cesarean section and sorted the posterior probability to obtain the key factors in the primary and secondary risk factors: uterine atony and prolonged labor. The rules of clinical features associated with the management of postpartum hemorrhage during cesarean section were obtained. Finally, related strategies were proposed for improving medical service quality and enhancing the rescue efficiency of clinical pathways in China.

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“…Fuzzy Petri nets for fault section estimation, where fuzzy logic parameters are used to handle uncertainties and a matrix execution algorithm is used to achieve parallel reasoning and adaptability [2]. Fuzzy Petri net extended by process knowledge and a generalized fuzzy event -condition -action rule as a hybrid approach of exception handling in dynamic workflow management, where a weighted fuzzy reasoning algorithm is used to achieve the reasoning process [3].…”

Section: Introductionmentioning

confidence: 99%