It is necessary to know which data will be use as variables in the models before designing the DSS
From COST Action FP0804: FORSYS
Lesson
| ID | 18 |
|---|---|
| Has statement | It is necessary to know which data will be use as variables in the models before designing the DSS |
| Has evidence | |
| Has consequences | |
| Has recommendation for action | |
| Has domain | |
| Has DSS development stage | Specification |
| Has decision stage | |
| Has temporal scale | |
| Has spatial context | |
| Has spatial scale | |
| Has objectives dimension | |
| Has goods and services dimension | |
| Has decision making dimension | |
| Has country | |
| Has reference | |
| Has related DSS | |
| Has related case | United States-The forest plan revision process in the Okanogan Wenatchee National Forest |
| Has related lesson | |
| Has other relevant information | |
| Has working group theme | Dss development process, Knowledge management |
| Has DSS development | It is necessary to know which data will be use as variables in the models before designing the DSS.Description of DSS development |
| Has decision support techniques | It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques |
| Has knowledge management processes | It is necessary to know which data will be use as variables in the models before designing the DSS.Knowledge management process |
| Has support for social participation | It is necessary to know which data will be use as variables in the models before designing the DSS.Support of social participation |
| Has actor perspective | |
| Has researcher role | |
| Has user role | |
| Has developer role |
