ENGLISH

Modelling with Words: Learning, Fusion, and Reasoning within a Formal Linguistic Represntation Framework

By Jonathan Lawry , Felix Díaz-Hermida , Purificación Cariñena , Alberto Bugarín (auth.) , Jimi Shanahan , Anca L. Ralescu (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2003
ISBN
978-3-540-20487-9, 978-3-540-39906-3
DOI
10.1007/b94063
Language
english
Format
PDF
Filesize
4 MB (3729440 bytes)
Series
Lecture Notes in Computer Science 2873 Lecture Notes in Artificial Intelligence
Edition
1
Pages
506\241
Time added
2014-01-18 08:00:00
Artificial Intelligence (incl. Robotics); Computat

Description

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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