Based on my prior knowledge, fibrinolytic therapy is often used to treat patients experiencing acute myocardial infarction (heart attack), not chronic heart failure specifically. However, there may be cases where fibrinolytic therapy is used for patients with chronic heart failure who are also experiencing a heart attack.

To analyze the relationship between the feature fibr_ter_05 and the presence of chronic heart failure in the patient's myocardial infarction complications data, we can examine the distribution of the feature values for different target classes.

Here is the analysis:

- For patients with chronic heart failure (target class yes):
  - There may be cases where fibrinolytic therapy (fibr_ter_05) is utilized as a treatment option.
  - Therefore, the feature value 'yes' may be present for the target class yes.

- For patients without chronic heart failure (target class no):
  - Fibrinolytic therapy is not typically indicated for chronic heart failure treatment.
  - Therefore, the feature value 'yes' is less likely to be present for the target class no.
  - The feature value 'no' may be more common in this target class.

Based on this analysis, the possible values of the feature fibr_ter_05 for the target classes can be represented in the following dictionary:

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

Note that the feature value 'no' is included for both target classes, as it is the default value when fibrinolytic therapy is not used. The feature value 'yes' is included for both target classes but is more likely to be present in the target class yes.