Synthesis of the information models in conditions of uncertainty on the basis of parameters' entropy potentials
Viktor Lazarevich Lazarev · 2017
In the paper are observed methods for synthesis of the information model of the systems' evolution for the variation properties of their parameters. It is proposed to carry out the variations description based on entropy potentials values. As a result, it is possible to obtain compact and representative models in various situations with the original data. The synthesis of these models requires the minimum amount of measurement information what is relevant in the conditions of a priori uncertainty due to, for example, the “deficit” of input data. This situation is typical for the organization of multi-object research in different fields where in order to make necessary measurements the complicated and expensive equipment is required as well as when he measurement process itself is demanding and time consuming.