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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 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.
List of contents
Part 1 Introduction.- Part 2 Fuzzy Conceptual Graphs.- Part 3 Annotated Fuzzy Logic Programming .- Part 4 Fuzzy Conceptual Graph Programming .- Part 5 Modeling and Computing with Generally Quantified Statements.- Part 6 Approximate Knowledge Retrieval.- Part 7 Natural Language Query Understanding.- Part 8 Appendices.- Part 9 References
Summary
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.
Additional text
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)
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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)
