BACKGROUND Decision-making processes in a medical setting are complex, dynamic and under time pressure, often with serious consequences for a patient's condition. OBJECTIVE The principal aim of the present study was to trace and map the individual diagnostic process of real medical cases using a Decision Process Matrix [DPM]). METHODS The naturalistic decision-making process of 11 residents...

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

Optimal decision making during the business process execution is crucial for achieving the business goals of an enterprise. Process execution often involves the usage of the decision logic specified in terms of business rules represented as atomic elements of conditions leading to conclusions. However, the question of using and integrating the processand decision-centric approaches, i.e. harmon...

Information technology (IT) outsourcing has been recognized as a new methodology in many organizations. Yet making an appropriate decision with regard to selection and use of these methodologies may impose uncertainties and risks. Estimating the occurrence probability of risks and their impacts organizations goals may reduce their threats. In this study, an extended analytical hierarchical proc...

The paper introduces our work related to the design and implementation of a decision-aware system focused on the loan contracting decision process. A decision-aware system is a software that enables the user to make a decision in a simulated environment and logs all the actions of the decision maker while interacting with the software. By using a mining algorithm on the logs, it creates a model...

In this paper we present an approach for mining decisions. We show that through the use of a Decision Data Model (DDM) we can make explicit the knowledge employed in decision making. We use the DDM to provide insights into the data view of a business decision process. To support our claim we introduce our complete, functional decision mining approach. First, a ‘decisionaware system’ introduces ...

Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making decisions on how to prioritize critical product areas from a customer perspective. However, it is the position of the author that the QFD process can be viewed as a decision support system that would enc...

Recent alliance use a come to of types of decision support systems to make feasible decision support. In lots of gear OLAP based tools are used in the industry area enabling quite a few views on data and all the way on or after side to side that a deductive go forward to data analysis. Data mining make bigger the credible for decision support by discover pattern and relatives unseen in data and...