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Computational Intelligence In Complex Decision Systems: 2 (Atlantis Computational Intelligence Systems) - Hardcover
Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
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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, 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.
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Computational Intelligence in Complex Decision Systems
Verlag:
Atlantis Press / World Scientific, 2009
ISBN 10: 9078677279
ISBN 13: 9789078677277
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COMPUTATIONAL INTELLIGENCE IN COMP.(V2)
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Atlantis Press / World Scientific, 2009
ISBN 10: 9078677279
ISBN 13: 9789078677277
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Computational Intelligence in Complex Decision Systems
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Computational Intelligence in Complex Decision Systems
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Computational Intelligence In Complex Decision Systems
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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. Artikel-Nr. 599123804
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Computational Intelligence in Complex Decision Systems
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Hardcover. Zustand: Brand New. illustrated edition. 388 pages. 9.75x6.75x1.00 inches. In Stock. Artikel-Nr. __9078677279
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COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION SYSTEMS (Atlantis Computational Intelligence Systems)
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Atlantis Press / World Scientific, 2009
ISBN 10: 9078677279
ISBN 13: 9789078677277
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Computational Intelligence in Complex Decision Systems
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Atlantis Press / World Scientific Nov 2009, 2009
ISBN 10: 9078677279
ISBN 13: 9789078677277
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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. Artikel-Nr. 9789078677277
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