Today there exist efficient algorithms for finding the optimal strategy for decision problems formulated in an influence diagram. In this paper we construct a Bayesian network that enables the decision maker to examine the optimal strategy, or any other strategy, with respect to other criteria than maximal expected utility. We introduce the concept: ‘the probability of making a future decision’...

The interval-valued intuitionistic fuzzy set (IVIFS) which is an extension of the Atanassov’s intuitionistic fuzzy set is a powerful tool for modeling real life decision making problems. In this paper, we propose the emph{generalized interval-valued intuitionistic fuzzy Hamacher generalized Shapley Choquet integral} (GIVIFHGSCI) and the emph{interval-valued intuitionistic fuzzy Hamacher general...

Voting by persons with dementia raises questions about their decision-making capacity. Methods specifically addressing voting capacity of demented people have been proposed in the US, but never tested elsewhere. We translated and adapted the US Competence Assessment Tool for Voting (CAT-V) to the Italian context, using it before 2006 elections for Prime Minister. Consisting of a brief questionn...

Statistics and information are considered the most important source of power in organizations and the source for all managerial activities. If correct and comprehensive information are readily at hand, incorrect decisions will be reduced to a minimum. The purpose of this study is to review the effects of hospital information system in regards to effectiveness of decisions made by managers. The ...

Training programs are apparently worth something because computer companies or services continue investing money to educate and train their employees. But, they must see some relationship between the costs of training activities and ultimate company economic performance. In this paper, we describe ECONOF, a multicriterion model with the software tool related. It was developed to help managers t...

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...

Bayesian decision theory is a mathematical framework that models reasoning and decision-making under uncertainty. Around 1990, perceptual psychologists began constructing detailed Bayesian models of perception. 1 This research program has proved enormously fruitful. As two leading perceptual psychologists put it, “Bayesian concepts are transforming perception research by providing a rigorous ma...