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Modelling with Words
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Modelling with Words

Modelling with Words

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

Johnathan Lawry, Anca Ralescu, Jimi Shanahan - Collection Lecture Notes in Economics and Mathematical Systems

230 pages, parution le 11/02/2004

Résumé

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

Written for:
Researchers and professionals

L'auteur - Johnathan Lawry

Editor

L'auteur - Anca Ralescu

Editor

L'auteur - Jimi Shanahan

Editor

Sommaire

  • Random Set-Based Approaches for Modelling Fuzzy Operators
  • A General Framework for Induction of Decision Trees under Uncertainty
  • Combining Rule Weight Learning and Rule Selection
  • to Obtain Simpler and More Accurate Linguistic Fuzzy Models
  • Semantics-Preserving Dimensionality Reduction in Intelligent Modelling
  • Conceptual Graphs for Modelling and Computing with Generally Quantified Statements
  • Improvement of the Interpret ability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators
  • Humanist Computing: Modelling with Words, Concepts, and Behaviours
  • A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining
  • Combining Collaborative and Content-Based Filtering Using Conceptual Graphs
  • Random Sets and Appropriateness Degrees for Modelling with Labels
  • Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling
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Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Johnathan Lawry, Anca Ralescu, Jimi Shanahan
Collection Lecture Notes in Economics and Mathematical Systems
Parution 11/02/2004
Nb. de pages 230
Format 15,5 x 23,5
Couverture Broché
Poids 375g
Intérieur Noir et Blanc
EAN13 9783540204879

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