DMCommunity.org published an interesting challenge “Greeting a Customer with Unknown Data” that deals with the real-world decision modeling issue: your decision model has to produce a meaningful outcome even when expected input is not available. We provided our DMN-like solution utilizing various OpenRules constructs – it is described here.
The modern Business Rules and Decision Management Systems help users to move business logic from a code to business rules controlled by subject matter experts (not developers). In particular, the latest Decision Model and Notation (DMN) standard  defines powerful and broadly applicable concepts for decision modeling that allowed experts  to call DMN a “decision modeling language”. DMN even includes a friendly enough expression language, FEEL, to express complex relationships between different decision variables. However, DMN is a general purpose “decision modeling language” that naturally stays away from domain-specific decision modeling constructs. In this article I will discuss how to enhance DMN to support specialized decision modeling languages. Continue reading