Piecewise linear approximation of fuzzy numbers preserving the support and core
Version 2 2024-06-12, 15:08Version 2 2024-06-12, 15:08
Version 1 2019-10-09, 08:18Version 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 HoulariA 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
443Pagination
244-253Location
Montpellier, FranceStart date
2014-07-15End date
2014-07-19ISSN
1865-0929ISBN-13
9783319088549Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
Laurent A, Strauss O, Bouchon-Meunier B, Yager RRTitle 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 : ProceedingsEvent
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Conference (15th : 2014 : Montpellier, France)Issue
Part 2Publisher
SpringerPlace of publication
Berlin, GermanySeries
Communications in Computer and Information ScienceUsage metrics
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