An MC2 linear programming approach to combined forecasting

Combined forecasting is a well-known forecasting technique of handling multiple forecasting methods. However, the previous combined forecasting approaches lack of incorporating the various possible opinions from several experts on an given forecasting problem. This paper proposes an MC2 linear programming approach to determining weighted coefficients of combined forecasting that involves multiple experts. The numerical example of the paper shows that the proposed approach likely outperforms the current techniques of combined forecasting in dealing with the case of multiple experts.