Sprache: Englisch
Verlag: Atlantis Press / World Scientific, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: World Scientific Publishing Company, Incorporated, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 95,43
Anzahl: 1 verfügbar
In den WarenkorbZustand: Used. pp. 388 Illus.
Sprache: Englisch
Verlag: World Scientific Publishing Company, Incorporated, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: Used. pp. 388.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 117,59
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. illustrated edition. 388 pages. 9.75x6.75x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Atlantis Press / World Scientific, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 136,32
Anzahl: 2 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: WORLD SCIENTIFIC PUB CO INC, 2009
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: moluna, Greven, Deutschland
Zustand: 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.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd Jun 2010, 2010
ISBN 10: 9078677279 ISBN 13: 9789078677277
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.