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Language: English
Published by World Scientific Publishing Company, Incorporated, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Seller: Books Puddle, New York, NY, U.S.A.
Condition: Used. pp. 388.
Language: English
Published by World Scientific Publishing Company, Incorporated, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
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Add to basketCondition: Used. pp. 388 Illus.
Language: English
Published by World Scientific Publishing Company, Incorporated, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
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Condition: Used. pp. 388.
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Add to basketHardcover. Condition: Brand New. illustrated edition. 388 pages. 9.75x6.75x1.00 inches. In Stock.
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Language: English
Published by WORLD SCIENTIFIC PUB CO INC, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Seller: moluna, Greven, Germany
Condition: New. KlappentextrnrnIn 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-worl.
Language: English
Published by World Scientific Publishing Co Pte Ltd Jun 2010, 2010
ISBN 10: 9078677279 ISBN 13: 9789078677277
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - 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.