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Piecewise linear approximation of fuzzy numbers preserving the support and core

Version 2 2024-06-12, 15:08
Version 1 2019-10-09, 08:18
conference contribution
posted on 2024-06-12, 15:08 authored by L Coroianu, M Gagolewski, P Grzegorzewski, MA Firozja, T Houlari
A reasonable approximation of a fuzzy number should have a simple membership function, be close to the input fuzzy number, and should preserve some of its important characteristics. In this paper we suggest to approximate a fuzzy number by a piecewise linear 1-knot fuzzy number which is the closest one to the input fuzzy number among all piecewise linear 1-knot fuzzy numbers having the same core and the same support as the input. We discuss the existence of the approximation operator, show algorithms ready for the practical use and illustrate the considered concepts by examples. It turns out that such an approximation task may be problematic. © Springer International Publishing Switzerland 2014.

History

Volume

443

Pagination

244-253

Location

Montpellier, France

Start date

2014-07-15

End date

2014-07-19

ISSN

1865-0929

ISBN-13

9783319088549

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Laurent A, Strauss O, Bouchon-Meunier B, Yager RR

Title of proceedings

IPMU 2014 : Information processing and management of uncertainty in knowledge-based systems : 15th international conference, IPMU 2014, Montpellier France, July 15-19, 2014 : Proceedings

Event

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Conference (15th : 2014 : Montpellier, France)

Issue

Part 2

Publisher

Springer

Place of publication

Berlin, Germany

Series

Communications in Computer and Information Science

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