A New Calculus for Linguistic Prototypes in Data Analysis

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

A random set semantics for imprecise concepts is introduced. It is then demonstrated how label descriptions of data sets can be learnt in this framework. These descriptions take the form of linguistic prototypes representing amalgams of elements. The potential of this approach for classification and query evaluation is then investigated.
Translated title of the contributionA New Calculus for Linguistic Prototypes in Data Analysis
Original languageEnglish
Title of host publicationSoft Methods in Probability, Statistics and Data Analysis
PublisherPhysica, Heidelberg
Pages116 - 125
Number of pages9
ISBN (Electronic)9783790817737
ISBN (Print)9783790815269
Publication statusPublished - Jun 2002

Publication series

NameAdvances in Intelligent and Soft Computing
PublisherSpringer
Volume16
ISSN (Print)1615-3871

Bibliographical note

Publisher: Springer

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