Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2873)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh.
This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are
- balancing predictive accuracy and high level transparency in learning
- scaling linguistic algorithms to high-dimensional data problems
- integrating linguistic expert knowledge with knowledge derived from data
- identifying sound and useful inference rules
- integrating fuzzy and probabilistic uncertainty in data modelling
Editors and Affiliations
Bibliographic Information
Book Title: Modelling with Words
Book Subtitle: Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework
Editors: Jonathan Lawry, Jimi Shanahan, Anca Ralescu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b94063
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-20487-9Published: 10 November 2003
eBook ISBN: 978-3-540-39906-3Published: 28 October 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 506
Topics: Artificial Intelligence, Computation by Abstract Devices, Mathematical Logic and Formal Languages, Database Management, Information Storage and Retrieval, Simulation and Modeling