Evaluation and interval approximation of fuzzy quantities

DOI

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).

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 220
EP  - 226
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.32
DO  - 10.2991/eusflat.2013.32
ID  - Anzilli2013/08
ER  -