In group decision making, different experts often think about the same problem in quite different ways. They frequently have different opinions for decision making about the same situation. Using a Bayesian network structure for optimizing problems, different experts who work as a group for projects may have different solutions for indentifying the causal relationships among variables in the BN...

Research into Bayesian analysis of computer simulations has appeared mostly in the simulation literature. Very little of the work has been performed by decision analysts, despite the overlap of the methods used. The hope is that this expository survey on Bayesian simulation will engender more work in the area by decision analysts. We discuss the main areas of research performed thus far, includ...

Probabilistic Bayesian networks have been used as decision making tools mainly in medicine and economics, but recently they have also been utilized in natural resource management. In this study a Bayesian model is built as a decisionmaking tool for fisheries management in the Tonle Sap Lake in Cambodia. As the largest freshwater fishery in the world, the Tonle Sap has enormous importance to bot...

This paper develops a category-theoretic approach to uncertainty, informativeness and decision-making problems. It is based on appropriate first order fuzzy logic in which not only logical connectives but also quantifiers have fuzzy interpretation. It is shown that all fundamental concepts of probability and statistics such as joint distribution, conditional distribution, etc., have meaningful ...