Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH)
Measuring Attractiveness through a Category Based Evaluation Technique is the goal of the MACBETH approach that was designed by Carlos António Bana e Costa, from the University of Lisbon, in cooperation with Professor Jean-Claude Vansnick and Dr. Jean-Marie De Corte, from the Université de Mons.
MACBETH permits the evaluation of options against multiple criteria. The key distinction between MACBETH and other Multiple-criteria decision analysis (MCDA) methods is that it needs only qualitative judgements about the difference of attractiveness between two elements at a time, in order to generate numerical scores for the options in each criterion and to weight the criteria. The seven MACBETH semantic categories are: no, very weak, weak, moderate, strong, very strong, and extreme difference of attractiveness.
Uses and applications
MACBETH has been extensively applied in various evaluation contexts, namely:
Agriculture, Manufacturing & Services
- Finance
- Information systems
- Performance measurement
- Production & service planning
- Quality management
- R&D project selection
- Risk management
- Strategy & resource allocation
- Supply chain and logistics
Energy
- Project prioritization and selection
- Technology choice
Environment
- Landscape management
- Climate change
- Risk management
- Sustainable development
- Water resource management
Medical
- Medical
Military
- Military
Public Sector
- Conflict analysis and management
- Project prioritization & resource allocation
- Procurement
- Project prioritization & resource allocation
- Strategic planning & development
Others
- Human resource management
- Job selection
- Sports
Decision Suppot Systems
Several DSS implement the MACBETH approach, namely:
- M-MACBETH,
- mini-MACBETH (within HIVIEW3)
- CA-MACBETH