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Conceptual Graphs and Fuzzy Logic

A Fusion for Representing and Reasoning with Linguistic Information
BuchKartoniert, Paperback
240 Seiten
Englisch
Springererschienen am05.09.2012
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.mehr
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EUR106,99
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EUR106,99
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Produkt

KlappentextIn 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.
ZusammenfassungAs 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.
Details
ISBN/GTIN978-3-642-26409-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2012
Erscheinungsdatum05.09.2012
ReiheStudies in Computational Intelligence
Seiten240 Seiten
SpracheEnglisch
Gewicht328 g
Illustrationen240 p. 77 illus.
Artikel-Nr.18318706

Inhalt/Kritik

Inhaltsverzeichnis
Fuzzy Conceptual Graphs.- Annotated Fuzzy Logic Programming.- Fuzzy Conceptual Graph Programming.- Modelling and Computing with Generally Quantified Statements.- Approximate Knowledge Retrieval.- Natural Language Query Understanding.mehr
Kritik
From the reviews:
"This research monograph is devoted to the idea of fuzzy conceptual graphs, their analysis, algorithms and applications. ... One of the outstanding features of the monograph is a formal and systematic coverage of the fundamental concepts. Overall, the book can serve as a valuable, well-structured reference book for all those interested in the effective representation and processing of fuzzy information." (Witold Pedrycz, Zentralblatt MATH, Vol. 1208, 2011)mehr