JB estimation approach applied to fuzzy regression modeling

When the sample size is small, optimal estimation in the context of regression modeling is important. In a typical fuzzy regression with crisp input and fuzzy error term, we implement the fuzzy Jackknife-after-Bootstrap (JB) technique to estimate the fuzzy parameters. Numerical example illustrate the proposed JB approach improves the estimates of fuzzy parameters.