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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642140866 ISBN 13: 9783642140860
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Hardcover. Condition: new. Hardcover. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010
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Add to basketCondition: New. As well as formulating a framework of fuzzy types to represent both partial truth and uncertainty in conceptual graphs, this volume develops the foundations of order-sorted fuzzy set logic programming and details recent applications of fuzzy conceptual graphs. Series: Studies in Computational Intelligence. Num Pages: 240 pages, 77 black & white illustrations, biography. BIC Classification: TBC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 524. . 2010. Hardback. . . . .
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Condition: New. As well as formulating a framework of fuzzy types to represent both partial truth and uncertainty in conceptual graphs, this volume develops the foundations of order-sorted fuzzy set logic programming and details recent applications of fuzzy conceptual graphs. Series: Studies in Computational Intelligence. Num Pages: 240 pages, 77 black & white illustrations, biography. BIC Classification: TBC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 524. . 2010. Hardback. . . . . Books ship from the US and Ireland.
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Add to basketBuch. Condition: Neu. Neuware -In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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ISBN 10: 3642264093 ISBN 13: 9783642264092
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding.
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ISBN 10: 3642264093 ISBN 13: 9783642264092
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Add to basketPaperback. Condition: new. Paperback. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardcover. Condition: new. Hardcover. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2010, 2010
ISBN 10: 3642140866 ISBN 13: 9783642140860
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. 212 pp. Englisch.
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ISBN 10: 3642264093 ISBN 13: 9783642264092
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantifiedstatements, approximate knowledge retrieval, and natural language query understanding. 212 pp. Englisch.