@misc{10481/70172,
year = {2021},
month = {7},
url = {http://hdl.handle.net/10481/70172},
abstract = {Recently fuzzy interval flexible linear programs have attracted many
interests. These models are an extension of the classical linear programming
which deal with crisp parameters. However, in most of the
real-world applications, the nature of the parameters of the decisionmaking
problems is generally imprecise. Such uncertainties can lead
to increased complexities in the related optimisation efforts. Simply
ignoring these uncertainties is considered undesired as it may result
in inferior or wrong decisions. Therefore, inexact linear programming
methods are desired under uncertainty. In this paper,weconcentrate
a fuzzy flexible linear programming model with flexible constraints
and the interval objective function and then propose a new solving
approach based on solving an associated multi-objective model.
Finally, numerical example is included to illustrate the mentioned
solving process.},
organization = {University of Mazandaran},
organization = {Spanish Ministry of Economy and Competitiveness	TIN2017-86647-P},
organization = {European Commission},
publisher = {Taylor & Francis},
keywords = {Multi-objective linear programming},
keywords = {Fuzzy interval flexible linear programming},
keywords = {Interval linear programming},
keywords = {Interval arithmetic},
keywords = {Flexible constraints},
title = {A New Method to Solve Fuzzy Interval Flexible Linear Programming Using a Multi-Objective Approach},
doi = {10.1080/16168658.2021.1906154},
author = {Nasseri, S. H. and Verdegay Galdeano, José Luis and Mahmoudi, F.},
}