Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information by Tru Hoang CaoConceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information by Tru Hoang Cao

Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic…

byTru Hoang Cao

Paperback | September 5, 2012

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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.
Title:Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic…Format:PaperbackDimensions:240 pagesPublished:September 5, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642264093

ISBN - 13:9783642264092

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Table of Contents

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.

Editorial Reviews

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)