Author: Da Ruan
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Publisher: Atlantis Press
Binding: Hardcover
ISBN: 9078677279
Category: Programming
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Computational Intelligence in Complex Decision Systems (Atlantis Computational Intelligence Systems)
In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. Programming books Computational Intelligence in Complex Decision Systems pdf. 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. Download books Computational Intelligence In Complex Decision Systems By Da Ruan Hardcover pdf via mediafire, 4shared, rapidshare.
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format hardback language english publication year 30 11 2009 series atlantis computational intelligence systems subject computing it subject 2 computing professional programming title computational intelligence in complex decision systems author ruan da editor publisher atlantis pr publication date jun 30 2010 pages 388 binding hardcover dimensions 6 75 wx 9 75 hx 1 00 d isbn 9078677279 subject computers artificial intelligence description in recent years there has been a growing interest in t
format hardback language english publication year 30 11 2009 series atlantis computational intelligence systems subject computing it subject 2 computing professional programming title computational intelligence in complex decision systems author ruan da editor publisher atlantis pr publication date jun 30 2010 pages 388 binding hardcover dimensions 6 75 wx 9 75 hx 1 00 d isbn 9078677279 subject computers artificial intelligence description in recent years there has been a growing interest in t
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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
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
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This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences.
The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution
This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences.
The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution
Download Computational Intelligence in 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. Download free Computational Intelligence in Complex Decision Systems (Atlantis Computational Intelligence Systems) pdf
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