Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_08" and the occurrence of chronic heart failure in myocardial infarction complications data.

To do this, we need to check the fibr_ter_08 values for both the "no" and "yes" classes of chronic heart failure. We will analyze how the feature varies for each class.

Here is the analysis for the given feature:

For chronic heart failure (no):
- Possible values of feature fibr_ter_08: ['no', 'yes']
- In the "no" class, the possible values of fibr_ter_08 are ['no']

For chronic heart failure (yes):
- Possible values of feature fibr_ter_08: ['no', 'yes']
- In the "yes" class, the possible values of fibr_ter_08 are ['no', 'yes']

Based on this analysis, we can create the dictionary:

```json
{
	"no": ["no"],
	"yes": ["no", "yes"]
}
```

This dictionary shows the possible values of the feature "fibr_ter_08" for each class of chronic heart failure.