The Extended Block Predictor-Block Corrector Method for Computing Fuzzy Differential Equations

Over the years, scholars have developed predictor-corrector method to provide estimates for ordinary differential equations (ODEs). Predictor-corrector methods been reduced predicting-correcting with no concern finding convergence-criteria each loop suitable vary step size in order maximize error. This study aim consider computing fuzzy employing extended block predictor-block corrector (EBP-BCM). The of interpolation and collocation combined multinomial power series as basis function approximation will used. principal local truncation errors be utilized bring forth convergence criteria ensure speedy iteration thereby maximizing error(s). Thus, these findings reveal ability this technique speed up rate a result variegating error control. Some examples solve showcase efficiency accuracy technique.