Boscovich Fuzzy Regression Line

We introduce a new fuzzy linear regression method. The method is capable of approximating relationships between an independent and dependent variable. variables are expected to be real value triangular numbers, respectively. demonstrate on twenty datasets that the reliable, it less sensitive outliers, compare with possibilistic-based methods. Unlike other commonly used methods, presented simple for implementation has time-complexity. guarantees non-negativity model parameter spreads.