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

Since chronic heart failure is a long-term condition, it is expected that patients who experience a longer time elapsed from the beginning of the attack of CHD to the hospital might be more likely to develop chronic heart failure. On the other hand, patients who receive prompt medical attention and have a shorter time elapsed may have a lower chance of developing chronic heart failure.

Based on this analysis, the dictionary can be generated as follows:

```json
{
	"no": ["2-4 hours", "less than 2 hours", "4-6 hours", "6-8 hours", "8-12 hours"],
	"yes": ["more than 3 days", "more than 2 days", "12-24 hours", "more than 1 days"]
}
```

This dictionary includes the possible values of the TIME_B_S feature for each target class. The "no" class includes time intervals that are shorter and indicate a lower likelihood of chronic heart failure, while the "yes" class includes time intervals that are longer and indicate a higher likelihood of chronic heart failure.