RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE

Abstract

Evaluation of indeterminate forms is a current problem for a significant class of formalized system analysis tasks. Formally, the problems of indeterminate forms evaluation in the system analysis and the operations research theory are largely similar. However, there are also fundamental differences that lie in the following. The problems of operations research have a greater degree of formalization, since they usually a priori provide all the restrictions, conditions, outcoming data and mathematical models. In system analysis problems, part of restrictions, conditions, outcoming data have not been studied in advance, the information about them is refined in the process of problem formalization and solving. Presently, the task of indeterminate objectives evaluation in multiobjective decision making problems, which are reduced to "soft formal characterization" system analysis problems, remains topical. One of them is the problem of finding a rational compromise in multiobjective optimization for a totality of one variable functions. The work: determines the class of indeterminate objectives evaluation problems, determined by the functions of one variable; analyzes existing approaches and methods of indeterminate objectives evaluation; clearly outlines the range of problematic issues that occur in their application. The authors’ method of solving a certain class of problems in the defined limits of application has been proposed; its algorithmization and programming as well as its application evaluation based on various examples have been carried out.

Keywords

• system analysis, multiobjective optimization, uncertainty of objectives, pareto region, formalization, rational compromise