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In this paper, we consider the fuzzy linear regression model proposed by Kim et al. and construct empirical likelihood ratio statistics of unknown parameters. Under suitable conditions, we prove that the statistics converges in distribution to χ2(p+1). Using these results, we can construct the confidence region of unknown parameters.