A New Approach to Z-number Based Earned Value Management

Figures & data

Table 1. An example of a dictionary for credibility evaluation in Z-fuzzy numbers.

Linguistic expression
Unlikely	(0.1, 0.2, 0.3)
Fairly Impossible	(0.3, 0.4, 0.5)
Maybe	(0.4, 0.5, 0.6)
Fairly	(0.5, 0.6, 0.7)
Likely	(0.7, 0.8, 0.9)
Most Likely	(0.8, 0.9, 1)
Certainly	(1, 1, 1)

Figure 1. The membership function ${\mu }_A$ of the trapezoidal type 1 fuzzy number $\tilde{A}=(1,3,6,11)$.

Table 2. Results in the first control point in the example.

Table 3. Results in the second control point in the example.