. Through compromise programming approach, the optimization models with respect to the weights assigned to two objectives of …

This paper analyzes the relationship between Compromise Programming and a close relative called Composite Programming … Compromise Programming are equivalent to those obtained with a particular case of Composite Programming in which a linear … equivalent value of the control parameter in Composite Programming for each metric in Compromise Programming. It is remarked that …

purpose two main techniques have been used: the Analytic Hierarchy Process (AHP) and the Compromise Programming (CP), both …

. Through compromise programming approach, the optimization models with respect to the weights assigned to two objectives of …

Spatial Compromise Programming (SCP) and Monte Carlo Simulation (MCS) technique. In contrast to other conventional MCDM …

, through which the identified criteria can be enumerated. Compromise programming (CP), which results in a compromise solution … compromise programming is able to lead to satisfactory solutions. Performance of different alternatives is evaluated based on the … compromise programming analysis, and potential decisional alternatives are proposed for further investigation. Copyright Springer …

present paper proposes an adaptive method based on compromise programming to assist decision makers in identifying Pareto …

combines DEA and compromise programming, and permits to obtain a set of common weights for all countries in the analysis. The …

geometry is obtained in accordance with the analytical method. In the second-stage optimization, called compromise programming …