Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...

Discrete systems, prevalent in logistics, network design, scheduling and combinatorial decision-making, often demand the simultaneous optimisation of conflicting criteria. Multi-objective optimisation ...

In this paper, the authors are aimed at applying duality theory to multi-objective linear programming problems. Three methods of solutions were discussed and applied in this paper with the sole aim of ...