About: Decision Model and Notation is a research topic. Over the lifetime, 94 publications have been published within this topic receiving 1061 citations.
TL;DR: A study in the context of disaster management in Brazil that applies oDMN+, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process, revealed that the framework is an effective approach for improving the understanding of how to leverage big data in the organization's decision- making.
Abstract: With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN+, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that the framework is an effective approach for improving the understanding of how to leverage big data in the organization's decision-making. An extended model-based framework connects decision-making to big data sources.A better understanding of decision-making is achieved with the framework.A modeling process is outlined for systematically using the framework in practice.Decision-making can be improved through the use of standard models and notations.Lessons were learned from a case study on a Brazilian disaster early-warning center.
TL;DR: This paper introduces an integrated way of modelling the process, while providing a decision model which encompasses the process in its entirety, rather than focusing on local decision points only.
Abstract: Until recently decisions were mostly modelled within the process. Such an approach was shown to impair the maintainability, scalability, and flexibility of both processes and decisions. Lately, literature is moving towards a separation of concerns between the process and decision model. Most notably, the introduction of the Decision Model and Notation (DMN) standard provides a suitable solution for filling the void of decision representation. This raises the question whether decisions and processes can easily be separated and consistently integrated. We introduce an integrated way of modelling the process, while providing a decision model which encompasses the process in its entirety, rather than focusing on local decision points only. Specifically, this paper contributes formal definitions for decision models and for the integration of processes and decisions. Additionally, inconsistencies between process and decision models are identified and we remedy those inconsistencies by establishing FivePrinciples for integrated Process and Decision Modelling (5PDM). The principles are subsequently illustrated and validated on a case of a Belgian accounting company. We address the question of consistent integration of process and decision models.We provide a formalisation on which the integration is based.We list possible inconsistencies between process and decision models.We provide modelling guidelines for consistent integration.Our guidelines are applied and illustrated on a real life case.
TL;DR: This paper explores how and to which extent the data modeled in BPMN processes and used for decision-making may be represented in the corresponding DMN decision models and identifies a set of patterns that capture possible representations of data that can be used to guide the derivation of decision models related to existing process models.
TL;DR: It is explained how automated decision table construction and interfacing can prevent a great deal of the current problems with knowledge based systems, viz. lack of adequate design methodologies, lack of validation and verification support, maintenance problems.
Abstract: In this paper it is explained how automated decision table construction and interfacing can prevent a great deal of the current problems with knowledge based systems, viz. lack of adequate design methodologies, lack of validation and verification support, maintenance problems. A decision table engineering workbench, that addresses these issues of decision table modeling and interfacing, is presented by means of a small but elaborate example.
TL;DR: In this article, a formal semantics for DMN tables, a formal definition of key analysis tasks and scalable algorithms to tackle two such tasks, i.e., detection of overlapping rules and of missing rules.
Abstract: The Decision Model and Notation (DMN) is a standard notation to capture decision logic in business applications in general and business processes in particular. A central construct in DMN is that of a decision table. The increasing use of DMN decision tables to capture critical business knowledge raises the need to support analysis tasks on these tables such as correctness and completeness checking. This paper provides a formal semantics for DMN tables, a formal definition of key analysis tasks and scalable algorithms to tackle two such tasks, i.e., detection of overlapping rules and of missing rules. The algorithms are based on a geometric interpretation of decision tables that can be used to support other analysis tasks by tapping into geometric algorithms. The algorithms have been implemented in an open-source DMN editor and tested on large decision tables derived from a credit lending dataset.