Modelling with Words : Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework - Jonathan Lawry

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Modelling with Words

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

By: Jonathan Lawry (Editor), Jimi Shanahan (Editor), Anca Ralescu (Editor)

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Paperback | 10 November 2003

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248 Pages

Dimensions(cm)
22.86 x 15.24 x 1.27

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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

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Mathematics Mathematical Foundation Mathematical Logic Language & Linguistics Reference, Dictionaries & Guides Linguistics Graphical & Digital Media Applications 3D Graphics & Modelling

Databases Data Warehousing

Random Set-Based Approaches for Modelling Fuzzy Operators	p. 1
A General Framework for Induction of Decision Trees under Uncertainty	p. 26
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models	p. 44
Semantics-Preserving Dimensionality Reduction in Intelligent Modelling	p. 64
Conceptual Graphs for Modelling and Computing with Generally Quantified Statements	p. 80
Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators	p. 102
Humanist Computing: Modelling with Words, Concepts, and Behaviours	p. 124
A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining	p. 153
Combining Collaborative and Content-Based Filtering Using Conceptual Graphs	p. 168
Random Sets and Appropriateness Degrees for Modelling with Labels	p. 186
Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling	p. 209
Author Index	p. 229
Table of Contents provided by Blackwell. All Rights Reserved.

Modelling with Words

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

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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