Methods of solving problems with interval uncertainty

Abstract

There can be uncertainty in initial data which is commonly interval. There are considered two kinds of optimization problems: interval linear programming (ILP), finding equilibrium position for interval von Neumann's model (bilinear problem). Definitions of different types of solutions and methods for finding these solutions are given. These methods imply reducing interval optimization problems to exact (ordinary) linear programming problems.