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Fuzzy Analysis of Sentiment Terms for Topic Detection Process in Social Networks Read chapter Read first chapter

2018 | OriginalPaper | Chapter

On the Problem of Comparing Ordered Ordinary Fuzzy Multisets

Authors : Ángel Riesgo, Pedro Alonso, Irene Díaz, Vladimír Janiš, Vladimír Kobza, Susana Montes

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Publisher: Springer International Publishing

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Abstract

In this work we deal with a particular type of hesitant fuzzy set, in the case where membership values can appear multiple times and are ordered. They are called ordered ordinary fuzzy multisets. Some operations between them are introduced by means of an extension principle. In particular, the divergence measures between two of these multisets are defined and we have studied in detail the local family of divergences. Finally, these measures are related to the ones given for ordinary fuzzy sets.

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Metadata
Title
On the Problem of Comparing Ordered Ordinary Fuzzy Multisets
Authors
Ángel Riesgo
Pedro Alonso
Irene Díaz
Vladimír Janiš
Vladimír Kobza
Susana Montes
Copyright Year
2018
Book
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Print ISBN: 978-3-319-91475-6

Electronic ISBN: 978-3-319-91476-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91476-3_29

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