Improving venture capitalists’ decision processes is key to reducing failure rates for venture capital backed companies and to improving portfolio returns. In this paper we describe the use of a novel technique—Bayesian causal maps—to support and improve venture capital decision making. We combine causal mapping and Bayesian network techniques to construct a Bayesian causal map. The resulting p...

Today, maritime safety management norms, self-assessment guides and frameworks demand and/or recommend the collection, report, and analysis of indicators to measure the safety performance of shipping companies. However, the characteristic of classic indicators only provide information about the specific evaluated activity. In this paper, a new quantitative and qualitative option to jointly anal...

The objective of the proposed method is to improve the decision making for system architecture design. In this purpose, Bayesian Networks (BN) models are defined in order to take into account the availability parameters of components and they economical aspects. The model allows a decision-making aide to rationalise the design of system architecture. Based on BN inference scenarios are simulate...

background: today, nurses are exposed to everchanging complicated conditions in health care services, they provide. to be able to cope with these conditions effectively, they should be competent decision makers. besides, as decision making conditions get more complicated, using critical thinking is a need. the current study was carried out to evaluate the relationship between critical thinking ...