Based on the given feature description and task, we need to analyze how the feature "fibr_ter_01" relates to the presence of chronic heart failure in myocardial infarction complications data.

To examine this relationship, we can look at the distribution of "fibr_ter_01" values for the two target classes ("no" and "yes"). We will analyze the data and create a dictionary indicating the possible values of "fibr_ter_01" for each target class.

Here is the dictionary:

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

Explanation:
- For the target class "no", the only possible value of "fibr_ter_01" is "no".
- For the target class "yes", the possible values of "fibr_ter_01" are both "no" and "yes".