Balancing efficiency and equity can be difficult, as there may not be a single solution that satisfies both goals. One approach is to use a multi-objective optimization (MOO) method, such as the weighted sum method, the epsilon-constraint method, or the evolutionary algorithm method, to generate a set of Pareto optimal solutions that represent the trade-offs between efficiency and equity. Another approach is to use a multi-attribute decision making (MADM) method, such as the simple additive weighting method, the TOPSIS method, or the ELECTRE method, to evaluate and select the best alternative based on the weights and thresholds of the criteria. A third approach is to use a participatory or collaborative decision making (PDM or CDM) method, such as the Delphi method, the nominal group technique, or the analytic network process, to involve the stakeholders in the definition, measurement, and evaluation of the objectives and the criteria, and to reach a consensus or a compromise on the final decision.