Compromise programming (CP) aims to find solutions by minimising distances an ideal point with maximum achievement which is usually infeasible. A common assumption in CP that it highly unlikely the optimum decision will lie out of bounds compromise set given metrics p = 1 $p=1$ and ∞ $p=\infty$ Minkowski distance function. This excludes use multiplicative functions as a measure achievement. We ...

This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. This compromise programming method is ba...

In this paper, we present modified fuzzy goal programming (FGP) approach and generalized MATLAB program for solving multi-level linear fractional programming problems (ML-LFPPs) based on with some major modifications in earlier FGP algorithms. In proposed modified FGP approach, solution preferences by the decision makers at each level are not considered and fuzzy goal for the decision vectors i...

Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promising approach to solve the problem. This paper develops a nadir compromise programming (NCP) model...

The need for the right electricity planning is closely related to analysis that has be done on its generating capacity. Of course, in order make such planning, choice of method by which process carried out must considered. inclusion multiple objectives (goals) enables us create models are useful researching and expanding generation systems. Compromised programming used this paper aims find comp...

In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary information is in the form of an auxiliary att...

The problem of scheduling is an area that has attracted a lot attention from researchers for many years. Its goal to optimize resources in the system. lecturer’s assigning task example timetabling problem, class scheduling. This study introduces mathematical model assign constrained tasks (the time and required skills) university lecturers. Our capable generating calendar maximizes faculty expe...