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Abstract
This paper presents a new approach and procedure for performing fuzzy regression based on JHE method, a method for processing fuzzy information based on the Monte Carlo simulation technique. The new procedure is tested by applying it to determining fuzzy relationships between fuzzy variables. Methods for interpreting results of fuzzy regression are presented and discussed. Examples are presented to demonstrate this new procedure. Potential applications of this fuzzy regression procedure are discussed.