Confidence intervals for output variable in fuzzy linear regression model

An analogue of confidence intervals with a given level of possibility for output variable in a fuzzy linear regression model has been developed in the paper. The methods of fuzzy regression analysis extend the methods of classical regression analysis and allow to solve different problems in conditions of fuzzy and incomplete initial information without the limits of the probabilities methods. The developed approach opens up new opportunities for predicting of output fuzzy variable.