Design systems decision functioning under uncertainty

Abstract

Purpose: the article deals with the design of expert systems to support decision making under uncertainty. Discussion: the possibility of using to address the problem of the theory of fuzzy sets and linguistic model of decision making. Results: а Fuzzy-system of decision making under uncertainty. The input data for such a system is a vector containing the «clear» information on baseline characteristics evaluated the system and the criteria by which to improve its quality. At the output of Fuzzy-system offers a strategy aimed at improving the quality of search criteria.