3.2. Fuzzy Membership Function
In the evaluating process, the weights expressed with the linguistic terms, represent the
important degrees of criteria from experts via surveys on subjective assessments. These
linguistic terms are categorized into very low (VL), low (L), medium (M), high (H) and
very high (VH). Assume that all linguistic terms can be transferred into triangular fuzzy
numbers, and these fuzzy numbers are limited in [0, 1]. As a rule of thumb, each rank is
assigned an evenly spread membership function that has an interval of 0.30 or 0.25.
Based on assumptions above, a transformation table can be found as shown in Table 2.
Figure 1 illustrates the Fuzzy membership function