An iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems

作者:

Highlights:

摘要

This paper presents an iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems. These problems involve fuzzy parameters in the right-hand side of the constraints. The concept of α-level set of these fuzzy parameters is introduced with the definition of their membership function. A solution algorithm is described in sequential steps to solve the formulated model. The suggested approach in this paper is mainly based on the iterative goal programming technique together with Gomory cuts. An illustrative numerical example is given to clarify the theory and the solution algorithm.

论文关键词:Goal programming,Multiobjective integer linear programming,Fuzzy parameters,Gomory cuts

论文评审过程:Available online 27 January 2005.

论文官网地址:https://doi.org/10.1016/j.amc.2004.11.026