Evaluation and interval approximation of fuzzy quantities
Luca Anzilli, Gisella Facchinetti, Giovanni Mastroleo
Available Online August 2013.
- 10.2991/eusflat.2013.32How to use a DOI?
- Generalized fuzzy numbers fuzzy quantities evaluation interval approximation
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).
- © 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/).
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 - 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 -