Difference between revisions of "3. Evaluating options"
From COST Action FP0804: FORSYS
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1. Selecting the best option | 1. Selecting the best option | ||
* In continuous case (see Malczewski 1999), the best option can be selected using optimizations tools, and in discrete case with multi-criteria analysis MCA tools or voting methods. | * In continuous case (see Malczewski 1999), the best option can be selected using optimizations tools, and in discrete case with multi-criteria analysis MCA tools or voting methods. | ||
| − | * The optimization tools may include linear or non-linear programming tools or heuristic optimization tools. | + | * The optimization tools may include linear or non-linear programming tools or heuristic optimization tools.[[http://fp0804.emu.ee/wiki/index.php/Methods_and_Models]] |
2. Ranking alternative options | 2. Ranking alternative options | ||
* If it is not enough to select one best option, the options can be ranked from best to worst. There may also be groups of options that are indifferent to the DM/stakeholders. | * If it is not enough to select one best option, the options can be ranked from best to worst. There may also be groups of options that are indifferent to the DM/stakeholders. | ||
Revision as of 19:52, 12 September 2011
The tasks involved in this phase are
1. Selecting the best option
- In continuous case (see Malczewski 1999), the best option can be selected using optimizations tools, and in discrete case with multi-criteria analysis MCA tools or voting methods.
- The optimization tools may include linear or non-linear programming tools or heuristic optimization tools.[[1]]
2. Ranking alternative options
- If it is not enough to select one best option, the options can be ranked from best to worst. There may also be groups of options that are indifferent to the DM/stakeholders.
3. Aggregating preferences
- In case of several stakeholders / DMs the preferences need to be aggregated, in order to select the best option.
Malczewski, J. 1999. GIS and Multicriteria decision analysis. Wiley. 392 p.
