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Workflow Analysis based on Estimate of Fuzzy and Statistical Data
Shanghai, China October 24-October 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.108IEEE International Conference on e-Bu ...
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Feng TIAN, Xi ?an JiaoTong University, Xi?an, China
Keyi XING, Xi ?an JiaoTong University, Xi?an, China
Renhou LI, Xi ?an JiaoTong University, Xi?an, China
In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.
Citation:
Feng TIAN, Keyi XING, Renhou LI, "Workflow Analysis based on Estimate of Fuzzy and Statistical Data," icebe, pp.203-207, IEEE International Conference on e-Business Engineering (ICEBE'06), 2006
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