Felix Díaz-Hermida, Purificación Cariñena, Alberto Bugarín (auth.), Jonathan Lawry, Jimi Shanahan, Anca L. Ralescu (eds.)9783540204879, 3540204873
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
Table of contents :
Front Matter….Pages –
Random Set-Based Approaches for Modelling Fuzzy Operators….Pages 1-25
A General Framework for Induction of Decision Trees under Uncertainty….Pages 26-43
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models….Pages 44-63
Semantics-Preserving Dimensionality Reduction in Intelligent Modelling….Pages 64-79
Conceptual Graphs for Modelling and Computing with Generally Quantified Statements….Pages 80-101
Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators….Pages 102-123
Humanist Computing: Modelling with Words, Concepts, and Behaviours….Pages 124-152
A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining….Pages 153-167
Combining Collaborative and Content-Based Filtering Using Conceptual Graphs….Pages 168-185
Random Sets and Appropriateness Degrees for Modelling with Labels….Pages 186-208
Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling….Pages 209-228
Back Matter….Pages –
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