Conceptual Graphs and Fuzzy Logic A Fusion for Representing and Reasoning with Linguistic Information /
The capacity for humans to communicate using language allows us to give, receive, and understand information expressed within a rich and flexible representational framework. Moreover, we can reason based on natural language expressions, and make decisions based on the information they convey, though...
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| Format: | Electronic |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Series: | Studies in Computational Intelligence,
306 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-14087-7 |
Table 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.