THE PROBLEM OF CHOOSING NEW TECHNOLOGIES UNDER FUZZY-DATA CONDITIONS

The choice and introduction of new technologies in enterprises with the established production base require all-round assessment of the expected results. It is obvious that a change of the tech-nology should raise the quality of products. This comprehensive indicator,including numerical and descriptive assessment of consumers ' properties of products, can be considered as a vector function of aim in an optimization problem of choosing the best technology. Restrictions in such a problem result from the assessment of various economic, social, ecological and other factors that describe each technology. For example, such factors can be: all-round expenses for the modernization of production, expenses for the possible supply of new raw-materials, the influence of the technology on the environment, expenses due to to the possible release and re-training of the personnel, etc. The majority of indicators and factors that the problem comprises can be assessed only as fuzzy-data (numbers, confidence intervals, sets). It is suggested to base mathematical methods for com-paring technologies under such an approach on the introduction of binary relation of equivalence and cIustering of sets of technologies