Measuring attractiveness by a categorical-based evaluation technique (MACBETH)
Measuring attractiveness through a categorical-based evaluation technique (MACBETH) is a multiple-criteria decision analysis (MCDA) method that evaluates options against multiple criteria.
MACBETH was designed by Carlos António Bana e Costa, from the University of Lisbon with Professor Jean-Claude Vansnick and Dr. Jean-Marie De Corte, from the Université de Mons.
The key distinction between MACBETH and other MCDA methods is that MACBETH needs only qualitative judgements about the difference of attractiveness between two elements at a time. It can then 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, and 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
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 support systems
Several decision support systems implement the MACBETH approach:
- Decision-making software
- M-MACBETH,
- mini-MACBETH (within HIVIEW3)
- CA-MACBETH
External links
- Carlos António Bana e Costa
- CA-MACBETH
- M-MACBETH
- mini-MACBETH (within HIVIEW3)