Main Article Content
This work presents development of a method for multi-criteria decision making under uncertainty conditions based on single-attribute value functions and probabilistic distributions. The values of different criteria are modeled using normal distributions, i.e. the value of the i-th criteria of the j-th option is given by x j i ∼ N(µ j i ,σ j i ) distribution. The method is evaluated and the results are analyzed on a simple example.