Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Evaluation and interval approximation of fuzzy quantities

Authors
Luca Anzilli, Gisella Facchinetti, Giovanni Mastroleo
Corresponding Author
Luca Anzilli
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.32How to use a DOI?
Keywords
Generalized fuzzy numbers fuzzy quantities evaluation interval approximation
Abstract
In this paper we present a general framework to face the problem of evaluate fuzzy quantities. A fuzzy quantity is a fuzzy set that may be non normal and/or non convex. This new formulation contains as particular cases the ones proposed by Fortemps and Roubens (1996), Yager and Filev (1981,1999) and follows a completely different approach. It starts with idea of “interval approximation of a fuzzy number” proposed, e.g., in Chanas (2001), Grzegorzewski (2002,2012).
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Proceedings
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Luca Anzilli
AU  - Gisella Facchinetti
AU  - Giovanni Mastroleo
PY  - 2013/08
DA  - 2013/08
TI  - Evaluation and interval approximation of fuzzy quantities
BT  - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.32
DO  - https://doi.org/10.2991/eusflat.2013.32
ID  - Anzilli2013/08
ER  -