How to reasonably account for the mutually constrained relationship among transmission capacities of different areas， so as to implement optimized and coordinated utilization of the whole network capacity and hence to maintain the secure and reliable operation of a power system， is an important problem to be resolved in the decision-making procedure of available transfer capability（ATC）. Given this background， a multi-objective programming based framework is presented for coordinated decision-making of transmission capacities among different areas， so as to ensure that the obtained schemes do not exceed the capability of the network supplying the given load and avoid the significant decrease of the ATC in the whole system due to the excessive employment of the transmission capacity in a given area. First， an optimal power flow based chance constrained programming model for the optimal coordinated decision-making of transmission capacity is developed， with the sum of the power in the interconnection lines among different areas as the objective function and the system security limits as constraints， and hence in the maximum transmission capacity such obtained an adequate amount of capacity margin has been retained. Next， a stochastic load flow embedded multi-objective differential evolution algorithm is employed for solving the developed optimization model. Finally， the IEEE 118-bus system is served for demonstrating the essential features of the developed model and method.