Multi-Criteria analysis

Framework for Multi-Criteria analysis, adapted from [*1]


Main Steps

The main steps of a MCA are split into three phases:

  • Intelligence Phase
  • Design Phase
  • Choice Phase

A clear workflow of all steps can be seen in the figure to the right.

More detailed the main steps of MCA are:

  • Problem Definition: establishing the decision context: which are the aims, who are the decision makers etc.

  • Evaluation Criteria: identifying the relevant criteria, objectives

  • Identifying the Options: Identifying the options to be evaluated. Sometimes the options have some constraints that might be deduced from the criteria. In the Planer-Client case, the options are the planning variants.

  • Decision Matrix (Scoring): Describing the expected performance of each option against each criterion (scores). The score can be directly given by the application (e.g. In the Planer Client the standard analyses give a score directly), or established having evaluation rules. In order to have relevant scores, all decision-makers should establish these rules (e.g. workshop).

  • Decision Makerís Preferences (Weighting): Assigning weights to all criteria, to reflect their importance to the decision.

  • Decision Rules: Combining the weights and the scores in order to derive an overall value

  • Sensitivity Analysis: Analysing the results, the advantages and disadvantages and changing the scores and the weights in order to see if better options can be created. The importance of the step in the Planer-Client application needs to be discussed.

  • Recommendation: Analysing all the information and getting the result.

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Economic aspects

Economic aspects



*1 Basak and Ozan et al.



Further Information


Multi-Criteria analysis