Weight decision and analysis in interval multi-objective decision-making

A new method for solving the interval multi-objective decision-making problem was proposed, in which the weight coefficients were in the form of a range of numbers. Initially, the range of objective weights were chosen. Then the objective weights were selected via stochastic assignment. Monte-Carlo simulation analyzes the reasonableness of weight to choose the optimal weightings. A real project was analyzed to verify the feasibility of the method.