In the article we propose a method of outliers identification in fuzzy regression. The outliers which occur in the sample may have an important influence on the form of regression equation. That is the reason of a great scientific interest in this issue. Presented method is an equivalent of the...

This paper addresses the integration of ill-know requirements (imprecision or uncertainty on f quantities or due dates) in a requirement plan (expressed in terms of quantities by periods). Ill-known requirements may come from a customer of the supply chain (forecast orders) or from a...

Allocating the right person to a task or job is a key issue for improving quality and performance of achievements, usually addressed using the concept of “competences”. Nevertheless, providing an accurate assessment of the competences of an individual may be in practice a difficult task. We...

Possibilistic indicators of fuzzy numbers (expected value, variance, and covariance) are an efficient instrument in the modeling of uncertainty phenomena. Various models of uncertainty phenomena have led to several notions of variance and covariance. In particular, the possibilistic models of...

Since von Neuman and Morgenstern's (1944) contribution to game theory, a rational decision maker will rank risky prospects according to the celebrated Expected utility criterion. This method takes lotteries i.e. (simple) probability distributions to represent risky prospects. If the decision...