FREE SHIPPING BOTH WAYS
ON EVERY ORDER!
LIST PRICE:
$112.00

OUR PRICE:
$94.25

You may extend rentals at any time.


Multicriteria Decision Aid and Artificial Intelligence - Links, Theory and Applications

ISBN: 9781119976394 | 1119976391
Edition: 1st
Format: Hardcover
Publisher: Wiley-Blackwell
Pub. Date: 4/22/2013

Why Rent from Knetbooks?

Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!

Top 5 reasons to order all your textbooks from Knetbooks:

  • We have the lowest prices on thousands of popular textbooks
  • Free shipping both ways on ALL orders
  • Most orders ship within 48 hours
  • Need your book longer than expected? Extending your rental is simple
  • Our customer support team is always here to help
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.


Please wait while this item is added to your cart...