An Approach for Solving Multi-Objective Linear Fractional Programming Problem with fully Rough Interval Coefficients

Autor: Naglaa Ragaa, Mohamed Solomon, Hegazy Zaher
Rok vydání: 2021
Předmět:
Zdroj: Journal of University of Shanghai for Science and Technology. 23:94-109
ISSN: 1007-6735
DOI: 10.51201/jusst/21/06502
Popis: In this paper, a multi-objective linear fractional programming (MOLFP) problem is considered where all of its coefficients in the objective function and constraints are rough intervals (RIs). At first, to solve this problem, we will construct two MOLFP problems with interval coefficients. One of these problems is a MOLFP where all of its coefficients are upper approximations of RIs and the other is a MOLFP where all of its coefficients are lower approximations of RIs. Second, the MOLFP problems are transformed into a single objective linear programming (LP) problem using a proposal given by Nuran Guzel. Finally, the single objective LP problem is solved by a regular simplex method which yields an efficient solution of the original MOLFP problem. A numerical example is given to demonstrate the results.
Databáze: OpenAIRE