“…It then imposes the similarity measure computed between the observation and the intermediate rule antecedent over the consequent deduced by firing the intermediate rule. A particular and popular example of this category is the scale and move transformation-based fuzzy rule interpolation (TFRI) [16], which has led to a number of advanced theoretical developments and applications [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [11], [30], [31], [32]. A key concept used in TFRI is the representative value of a fuzzy set, which captures important geometric characteristics of the fuzzy set (e.g., shape and location).…”