Conceptual Graphs and Fuzzy Logic
A Fusion for Representing and Reasoning with Linguistic Information
Published on 15. July 2010
Book
Hardback
240 pages
978-3-642-14086-0 (ISBN)
Description
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.
Reviews / Votes
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)More details
Series
Edition
1st Edition.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
77 s/w Abbildungen
240 p. 77 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 18 mm
Weight
527 gr
ISBN-13
978-3-642-14086-0 (9783642140860)
DOI
10.1007/978-3-642-14087-7
Schweitzer Classification
Other editions
Additional editions
Tru Hoang Cao
Conceptual Graphs and Fuzzy Logic
A Fusion for Representing and Reasoning with Linguistic Information
Book
09/2012
Springer
€106.99
Shipment within 7-9 days
Content
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.