A dual simplex method for grey linear programming problems based on duality results

Abstract

Purpose

For extending the common definitions and concepts of grey system theory to the optimization subject, a dual problem is proposed for the primal grey linear programming problem.

Design/methodology/approach

The authors discuss the solution concepts of primal and dual of grey linear programming problems without converting them to classical linear programming problems. A numerical example is provided to illustrate the theory developed.

Findings

By using arithmetic operations between interval grey numbers, the authors prove the complementary slackness theorem for grey linear programming problem and the associated dual problem.

Originality/value

Complementary slackness theorem for grey linear programming is first presented and proven. After that, a dual simplex method in grey environment is introduced and then some useful concepts are presented.

Citation

Darvishi Salookolaei, D. and Nasseri, S.H. (2020), "A dual simplex method for grey linear programming problems based on duality results", Grey Systems: Theory and Application, Vol. 10 No. 2, pp. 145-157. https://doi.org/10.1108/GS-10-2019-0044