Book description
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:
- Covers all of the recent advances in intelligent decision making.
- Includes a presentation of hybrid models and algorithms for
preference modelling and optimisation problems.
- Provides illustrations of new intelligent technologies and
architectures for decision making in static and distributed environments.
- Explores the general topics on preference modelling and learning,
along with the coverage of the main techniques and methodologies and
applications.
- Is written by experts in the field.
This book provides an excellent reference tool for the increasing number
of researchers and practitioners interested in the integration of MCDA
and AI for the development of effective hybrid decision support
methodologies and systems. Academics and post-graduate students in the
fields of operational research, artificial intelligence and management
science or decision analysis will also find this book beneficial.
