Abstract
The main goal of the article is to explore methods of solving problem of the gaps, occurring during execution of enterprise process workflows due to lack of information for making unambiguous decisions in various stages of business process scenarios. The suggested method integrates application of computational intelligence methods for processing historical information of business processes and extracting scenarios used for their performance, evaluation of process risk and generating fuzzy rules for solving possible process gaps and leading to successful execution of the process workflow. The process risk and fuzzy rules modules register data of process modifications and solutions which were applied while executing business processes.
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Kriksciuniene, D., Strigunaite, S. (2010). Self-adapting Intelligent Business Processes Execution Analysis. In: Abramowicz, W., Tolksdorf, R., Węcel, K. (eds) Business Information Systems Workshops. BIS 2010. Lecture Notes in Business Information Processing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15402-7_7
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DOI: https://doi.org/10.1007/978-3-642-15402-7_7
Publisher Name: Springer, Berlin, Heidelberg
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