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

Skip to content

Computational Intelligence in Complex Decision Systems

Computational Intelligence in Complex Decision Systems

Computational Intelligence in Complex Decision Systems
Stock photo: cover may vary

Computational Intelligence in Complex Decision Systems Hardback -

by Da Ruan

Add to wish list
  • Used
  • Hardback
Used

Description

World Scientific Publishing Company, Incorporated , pp. 388 . Hardback. Used.
Ask the seller a question Add to wish list
A$156.38
A$5.77 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Computational Intelligence in Complex Decision Systems
  • Author Da Ruan
  • Binding Hardback
  • Condition Used
  • Pages 404
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company, Incorporated
  • Publication date pp. 388
  • Illustrated Yes
  • Bookseller's Inventory # 61400657
  • ISBN 9789078677277 / 9078677279
  • Weight 1.65 lbs (0.75 kg)
  • Dimensions 9.8 x 6.6 x 1 in (24.89 x 16.76 x 2.54 cm)
  • Category Computers - General Information
  • Quantity available 1

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Computational Intelligence in Complex Decision 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-