Interpolative reasoning with multi-variable rules

The classical interpolative reasoning has been previously extended to handle an incomplete rule base with imprecise descriptions of variables. This extension has been done thanks to the assumption of graduality in variations of the variables, by using an analogical fuzzy approach. The authors propose an extension of this fuzzy interpolative reasoning when several variables appear as premises in the given rules.