Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications
John Wiley & Sons, Feb 1, 2013 - Business & Economics - 368 pages
Presents recent advances in both models and systems for intelligent decision making.
Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems.
The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering.
Multicriteria Decision Aid and Artificial Intelligence:
What people are saying - Write a review
Intelligent decision support systems
Rulebased approach to multicriteria ranking
Designing distributed multicriteria decision
Preference representation with ontologies
Neural networks in multicriteria decision support
About the application of evidence theory
in inMn mn
Multiple criteria decision aid and agents
Fuzzy analytic hierarchy process using type2
Applying genetic algorithms to optimize energy
Natureinspired intelligence for Pareto
Interactive approaches applied to multiobiective
Generalized data envelopment analysis