Computational framework for the method of decision making with imprecise probabilities

The paper is devoted to the development of a computational framework for one of the progressively developing methods for decision making under uncertainty, the method using a non-expected fuzzy-number-valued utility function represented by a fuzzy integral with fuzzy-number-valued fuzzy measure. The method and the underlying computational framework have shown its effectiveness tested on a set of examples.