Modelling with Words

Learning, Fusion, and Reasoning within a Formal Linguistic Represntation Framework

  • Jonathan Lawry
  • Jimi Shanahan
  • Anca L. Ralescu

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2873)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2873)

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


algorithms classification data mining data modelling decision tree fuzzy genetics knowledge learning machine learning modeling modeling with words natural language processing semantics uncertainty

Editors and affiliations

  • Jonathan Lawry
    • 1
  • Jimi Shanahan
    • 2
  • Anca L. Ralescu
    • 3
  1. 1.Artificial Intelligence Group, Engineering Mathematics DepartmentUniversity of BristolUK
  2. 2.Clairvoyance CorporationPittsburghUSA
  3. 3.ECECS DepartmentUniversity of CincinnatiCincinnatiUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-20487-9
  • Online ISBN 978-3-540-39906-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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