| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 389754 | Fuzzy Sets and Systems | 2014 | 24 Pages |
Abstract
In this paper we present a new general framework to face the problem of evaluating fuzzy quantities. A fuzzy quantity is a fuzzy set that may be non-normal and/or non-convex. It is based on the idea of “interval approximation of a fuzzy number”. The classical approach followed for fuzzy numbers is not pursuable in a fuzzy quantity context but anyway our proposal produces an interesting general formulation that offers the opportunity to create many different types of evaluations as it depends on several parameters.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Luca Anzilli, Gisella Facchinetti, Giovanni Mastroleo,