Table 6 ANFIS and EEBAT parameters.
From: An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects
ANFIS parameters | EEBAT parameters | ||
|---|---|---|---|
Number of inputs | 2 | Population size | 40 |
Number of outputs | 1 | Max iterations | 100 |
Learning algorithm | EEBAT | Pulse rate | 0.3 |
Number of inputs MFs | [4 4] | Loudness | 0.9 |
Partitioning method | Fuzzy C-means | fmin | 0 |
Input MF type | gaussmf | fmax | 0.1 |
Output MF type | Linear | Alpha | 0.9 |
Base fuzzy system | genfis3 | Gamma | 0.9 |
And method | Prod | ||
Or method | Probor | ||
Implication | Min | ||
Aggregation | Max | ||
Defuzzification | wtaver | ||
Maximum iterations | 100 | ||
Error tolerance | 1e−5 | ||
