A New Method to Solve Fuzzy Interval Flexible Linear Programming Using a Multi-Objective Approach Nasseri, S. H. Verdegay Galdeano, José Luis Mahmoudi, F. Multi-objective linear programming Fuzzy interval flexible linear programming Interval linear programming Interval arithmetic Flexible constraints The first author would like to appreciate from the research grant of University of Mazandaran. The research of Jose Luis Verdegay is supported in part by the project TIN2017-86647-P (Spanish Ministry of Economy and Competitiveness) which includes FEDER funds from the European Union. 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. 2021-09-13T11:06:56Z 2021-09-13T11:06:56Z 2021-07-14 journal article S. H. Nasseri, J. L. Verdegay & F. Mahmoudi (2021): A New Method to Solve Fuzzy Interval Flexible Linear Programming Using a Multi-Objective Approach, Fuzzy Information and Engineering, DOI: [10.1080/16168658.2021.1906154] http://hdl.handle.net/10481/70172 10.1080/16168658.2021.1906154 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Taylor & Francis