BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational Intelligence Systems)

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational Intelligence Systems)

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational
Stock photo: cover may vary

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational Intelligence Systems) Hardback - 2009

by Ruan, Da

Add to wish list
  • Used
  • Hardback
Used: Good

Description

Atlantis Press / World Scientific, 2009-11-01. Illustrated. hardcover. Used: Good. 6.60x1.00x9.80. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
NZ$276.53
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational Intelligence Systems)

From the jacket flap

In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.
tracking-