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

To do this, we would compare the distribution of the feature "fibr_ter_01" for the two target classes ("yes" - chronic heart failure, and "no" - absence of chronic heart failure).

Let's assume we have a dataset with the following entries for the target class "yes" (chronic heart failure):
1. fibr_ter_01: "yes"
2. fibr_ter_01: "no"

And for the target class "no" (absence of chronic heart failure):
1. fibr_ter_01: "yes"
2. fibr_ter_01: "no"
3. fibr_ter_01: "no"
4. fibr_ter_01: "no"

Based on this data, we can create the dictionary as follows:

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

In this case, the possible values of the feature "fibr_ter_01" for the target class "no" are ["no"], and for the target class "yes" are ["yes"].

Please note that this analysis is based on the given data, and if the data provided is different, the analysis and resulting dictionary might be different as well.