On the Monte Carlo weights in multiple criteria decision analysis.

In multiple-criteria decision making/aiding/analysis (MCDM/MCDA) weights of criteria constitute a crucial input for finding an optimal solution (alternative). A large number of methods were proposed for criteria weights derivation including direct ranking, point allocation, pairwise comparisons, entropy method, standard deviation method, and so on. However, the problem of correct criteria weights setting persists, especially when the number of criteria is relatively high.

The evaluation of COVID-19 prediction precision with a Lyapunov-like exponent.

In the field of machine learning, building models and measuring their performance are two equally important tasks. Currently, measures of precision of regression models' predictions are usually based on the notion of mean error, where by error we mean a deviation of a prediction from an observation. However, these mean based measures of models' performance have two drawbacks.

The law of demand and the loss of confidence effect: An experimental study.

The aim of this article is to examine the possibility that a market demand function (curve) might not be monotonically decreasing in its entire domain according to the consumer theory neoclassical as assumed by the law of demand (for normal goods). This may happen due to limited rationality of (some) consumers and the anchor price effect. When a price of a good decreases to some point, the amount demanded might stops increasing due to : consumers' unwillingness to buy a too cheap product.