Credit evaluation of construction-agency based on entropy AHP multi-attributes improved TOPSIS decision model

Government investment projects play a pivotal role in socialist economic construction, and goverment indicate clearly that implementation construction-agency system in government investment projects. For the problems of credit missing in domestic construction market, the "dual identity" of construction-agency making itself be apt to dishonest, and the project performance capability of project companies being closely related to its credit level, a construction-agency cedit evaluation model is bulit on behalf of government in this paper, and improved multi-attribute group decision model based on TOPSIS is proposed to comprehensive evaluation, which achieving the government\´s requirement to quantitatively evulate credit level of construction-agency. In the model, entropy and AHP are used to detemine comprehensive weights, and Minkowski distance is adopted to improve TOPSIS model, solving the problem of over weighted in the original TOPSIS model and increasing the efficiency of construction-agency credit evaluation. Finally, a representative case is used to illuminate the application of the model in this paper, which pictures the calculation procedures and verify the operability of the model, making important reference value to improve construction-agency credit evaluation system.