Based on prior knowledge, we can analyze the relationship between the feature fibr_ter_07 and the presence of chronic heart failure. To determine this relationship, we need to look at the values of fibr_ter_07 for patients with and without chronic heart failure.

Here's the analysis of the feature fibr_ter_07 and its relationship with chronic heart failure:

- Target Class: No (Chronic Heart Failure is absent)
  - Possible values of fibr_ter_07: ['no']
- Target Class: Yes (Chronic Heart Failure is present)
  - Possible values of fibr_ter_07: ['no', 'yes']

Based on this analysis, we can create the dictionary:

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

Please note that the values for the target class "No" show that patients without chronic heart failure only have the value "no" for the feature fibr_ter_07. On the other hand, patients with chronic heart failure (target class "Yes") can have either "no" or "yes" for the feature fibr_ter_07.