Observatorio de I+D+i UPM

Memorias de investigación
GMAA: Generic Multi-Attribute Análisis
Research Areas
  • Engineering
The Generic Multi-Attribute Analysis (GMAA) System is a Decision Support System (DSS) based on an additive multi-attribute utility model that accounts for incomplete information concerning the inputs. The system is intended to allay many of the operational difficulties involved in the Decision Analysis (DA) cycle, which can be divided into four steps: structuring the problem (which includes specifying objectives, building a value hierarchy and establishing attributes for the lowest-level objectives); identifying the feasible alternatives, their impact and uncertainty (if necessary); quantifying preferences (which includes the assessment of the component attribute utilities as well as the value trade-offs); evaluating strategies and performing Sensitivity Analysis (SA). The user can interactively create or delete nodes and branches to build or modify the objectives hierarchy. A name, label and description must be entered for each objective, as well as the respective attribute units and ranges for the lowest level objective. The system also accounts for attributes with a subjective scale.
under exploitation
Registration Date
Registry number
Universidad Politécnica de Madrid
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)