“…The use of t-norms and t-conorms has been considered vital for more flexible and reliable fuzzy logic controllers [62]. From them, it is possible to derive several fuzzy implication functions (e.g., S-implications, R-implications, QL-implications, D-implications, U-Implications, E-implications, H-implications) [2,[6][7][8][9]12,51,69,70,93,94,102,118], which are essential in approximate reasoning and fuzzy control to perform conditionals, to make inferences and also to take charge of the propagation of uncertainty in fuzzy reasonings [3,68].…”