Application of Improved IAHP to urban power system's planning and decision-making

摘要

Interval Analytic Hierarchy Process( IAHP) is widely used in order to solve the issue that how to identify strengths and weaknesses of each program in urban power system's planning and decision-making. With the application of IAHP, planning staff face with problems that how to calculate the integrative weight of interval verdict matrix accurately, reasonably arrange the interval layers in total sort, and choose the optimum consistency check to interval verdict matrix and so on. Therefore, this paper presents an approach based on linear programming(LP) and goal programming(GP). The LP model is established to calculate the weight of the interval verdict matrix and arrange the interval layers in total sort, while improving the LP model to construct the corresponding GP model to choose the optimum consistency check. So the improved IAHP has higher accuracy and adaptability. Case study shows that the optimization results are mush more scientific and effective. It could be feasible references for the system planning.