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Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory (Theory and Decision Library D:) - Roman Slowinski
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Roman Slowinski:
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory (Theory and Decision Library D:) - Taschenbuch

2010, ISBN: 904814194X

Paperback, [EAN: 9789048141944], Springer, Springer, Book, [PU: Springer], 2010-12-09, Springer, Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention., 269531, Managers' Guides to Computing, 404214, E-Commerce, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268292, Decision Making, 659930, Management Skills, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268296, Operational Research, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 278168, Robotics, 278141, Electronics & Communications Engineering, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278366, Mathematical Logic, 278363, Mathematical Foundations, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922942, Maths, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564352, Mathematics, 570902, Algebra, 570874, Applied Mathematics, 570912, Calculus & Mathematical Analysis, 570934, Combinatorics & Graph Theory, 570936, Geometry, 570964, Mathematical Theory, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory (Theory and Decision Library D:) - Roman Slowinski
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Roman Slowinski:
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory (Theory and Decision Library D:) - Taschenbuch

2010, ISBN: 904814194X

Paperback, [EAN: 9789048141944], Springer, Springer, Book, [PU: Springer], 2010-12-09, Springer, Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention., 269531, Managers' Guides to Computing, 404214, E-Commerce, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268292, Decision Making, 659930, Management Skills, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268296, Operational Research, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 278168, Robotics, 278141, Electronics & Communications Engineering, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278366, Mathematical Logic, 278363, Mathematical Foundations, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922942, Maths, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564352, Mathematics, 570902, Algebra, 570874, Applied Mathematics, 570912, Calculus & Mathematical Analysis, 570934, Combinatorics & Graph Theory, 570936, Geometry, 570964, Mathematical Theory, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Intelligent Decision Support (Paperback)
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[EAN: 9789048141944], Neubuch, [PU: Springer, Netherlands], Language: English . Brand New Book ***** Print on Demand *****. Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage.The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

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Handbook of Applications and Advances of the Rough Sets Theory Theory and Decision Library D. Softcover reprint of hardcover 1st ed. 1992. Handbook of Applications and Advances of the Rough Sets Theory Theory and Decision Library D. Softcover reprint of hardcover 1st ed. 1992. Bücher > Ratgeber > Computer Internet

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Intelligent Decision Support - Shi-Yu Huang (editor)
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Intelligent Decision Support
Autor:

Shi-Yu Huang

Titel:

Intelligent Decision Support

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Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

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EAN (ISBN-13): 9789048141944
ISBN (ISBN-10): 904814194X
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
492 Seiten
Gewicht: 0,737 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 10.12.2011 09:06:54
Buch zuletzt gefunden am 23.05.2017 22:32:18
ISBN/EAN: 9789048141944

ISBN - alternative Schreibweisen:
90-481-4194-X, 978-90-481-4194-4


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