Based on prior knowledge and common sense, we can analyze the relationship between the feature "persons" and the target variable "decision to buy this car" to create the requested dictionary.

| Feature (Persons) | Target Category |
|-------|-----------------|
|   '2'   |   Unacceptable   |
|   '4'   |   Acceptable       |
|  'more' |   Good              |
|  'more' | Very Good        |

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

```json
{
	"unacceptable": ["2"],
	"acceptable": ["4"],
	"very good": ["more"],
	"good": ["more"]
}
```

Note that since the feature "persons" with the value '2' is only associated with the target category "unacceptable", it is the only value included in the "unacceptable" list. Similarly, the feature value '4' is only associated with the target category "acceptable", so it is the only value included in the "acceptable" list. The feature value 'more' is associated with both "good" and "very good" target categories, so it is included in both lists.