Integer Programming Reformulations in Interval Linear Programming

Author(s):  
Elif Garajová ◽  
Miroslav Rada ◽  
Milan Hladík
2015 ◽  
Vol 187 ◽  
pp. 6-13 ◽  
Author(s):  
Jingzheng Ren ◽  
Liang Dong ◽  
Lu Sun ◽  
Michael Evan Goodsite ◽  
Shiyu Tan ◽  
...  

Author(s):  
Ladji Kané ◽  
Lassina Diabaté ◽  
Daouda Diawara ◽  
Moussa Konaté ◽  
Souleymane Kané

This study proposes a novel technique for solving Linear Programming Problems with triangular fuzzy variables. A modified version of the well-known simplex method and the Existing Method for Solving Interval Linear Programming problems are used for solving linear programming problems with triangular fuzzy variables. Furthermore, for illustration, some numerical examples and one real problem are used to demonstrate the correctness and usefulness of the proposed method. The proposed algorithm is flexible, easy, and reasonable.


2021 ◽  
Vol 10 (12) ◽  
pp. 3699-3723
Author(s):  
L. Kané ◽  
M. Konaté ◽  
L. Diabaté ◽  
M. Diakité ◽  
H. Bado

The present paper aims to propose an alternative solution approach in obtaining the fuzzy optimal solution to a fuzzy linear programming problem with variables given as fuzzy numbers with minimum uncertainty. In this paper, the fuzzy linear programming problems with variables given as fuzzy numbers is transformed into equivalent interval linear programming problems with variables given as interval numbers. The solutions to these interval linear programming problems with variables given as interval numbers are then obtained with the help of linear programming technique. A set of six random numerical examples has been solved using the proposed approach.


2021 ◽  
Author(s):  
Li Mingtong ◽  
Wang Lidi ◽  
Zhu Sitong ◽  
Miao Yilin ◽  
Wang Xinyao

Sign in / Sign up

Export Citation Format

Share Document