IN MANY ENGINEERING MODELING, SOME OF SYSTEM PARAMETERS ARE NOT EXACTLY KNOWN OR CAN CHANG UNDER UNPREDICTABLE INFLUENCES. SOMETIMES THE AMBIGUITY OF PARAMETERS CAN NOT BE DESCRIBED BY ONLY RANDOM OR INTERVAL VARIABLES. RANDOM INTERVAL VARIABLES HAVE BEEN INTRODUCED TO DESCRIBE THE COMPLEXITY OF THESE VARIATIONS. TO TREAT THE OPTIMIZATION PROBLEMS THAT INCLUDE RANDOM INTERVAL PARAMETERS, STOCHASTIC INTERVAL PROGRAMMING CAN BE USED. IN THIS PAPER, WE PRESENT A NEW APPROACH FOR STOCHASTIC INTERVAL LINEAR PROGRAMMING PROBLEMS (SILP).