The ability to effectively communicate decision rules becomes increasingly important, as the stake of multidisciplinary teams within organizations increases. With Decision Model and Notation (DMN) turning out to become one of the international standards for modelling decision rules, the need for effective communication of decision rules modelled using the standard grows. In order to facilitate this communication we present a structured verbalization for DMN decision tables, using principles of fact based thinking and modelling theory. This verbalization is designed to be fully interpretable by anyone that has knowledge about the described domain. The key to accommodating this interpretability is the use of a structured natural language as the foundation for the verbalization.
CITATION STYLE
Cremers, T., Nijssen, M., & Bulles, J. (2020). Verbalizing decision model and notation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11878 LNCS, pp. 86–94). Springer. https://doi.org/10.1007/978-3-030-40907-4_9
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