The apparent difficulty people have with making Bayesian inferences has been researched heavily over the past 25 years, with conflicting explanations regarding the causes of and the cures for this inadequacy. Some researchers have improved Bayesian reasoning by representing the problem visually, but usually as a tool to teach Bayesian reasoning skills. This research examines facilitating reason...

Decision making is an active and purposeful selection of actions among several alternative options. For humans, DM is a natural part of everyday life. The Bayesian theory provides a rigorous and consistent tool to help the decision maker to select the best action to achieve his aim. A significant application area of the decision-making theory is the control theory. Most of the applications of t...

A fundamental notion of decision-theoretic rough sets is the concept of loss functions, which provides a powerful tool of calculating a pair of thresholds for making a decision with a minimum cost. In this paper, time-dependent loss functions which are variations of the time are of interest because such functions are frequently encountered in practical situations, we present the relationship be...

background and purpose: internal evaluation has been a growing trend as the first step improvement in higher education specially in medical universities of iran. however, the results of this time consuming process of internal evaluation seems to be underused. we provide a description of anesthesiology department of shaheed beheshti university of medical sciences where the results were used to i...

We study the computations that Bayesian agents undertake when exchanging opinions over a network. The act repeatedly on their private information and take myopic actions maximize expected utility according to fully rational posterior belief. show such are NP-hard for two natural functions: one with binary actions, another where reveal beliefs. In fact, we distinguishing between posteriors conce...