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 computation
of 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 quantified
statements, approximate knowledge retrieval, and natural language query understanding.
Rezensionen / Stimmen
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)
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Research
Editions-Typ
Illustrationen
77
77 s/w Abbildungen
240 p. 77 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 12 mm
Gewicht
ISBN-13
978-3-642-26409-2 (9783642264092)
DOI
10.1007/978-3-642-14087-7
Schweitzer Klassifikation
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.
