| Due to the mult ip le of accident and the sever ity of consequences, deep foundation pit engineering is becoming the focus of society rapidly. C urrent ly, deep excavation support programs tends to choose according to the qualitat ive indicators and expert experience in actua l project, or simp ly decided to so me partic ular factor such as low cost, low environmenta l impact, short duration and so on. However, deep excavation is a complicated systemat ic project, how to make the best choice wit h scient ific method is a pressing proble m in ma ny bidding program.Along with the deve lopment of analyt ic hier archy process(AHP) and fuzzy mathe mat ics and grey theory, different scholars intended to make a preferred bidder for excavation works program by us ing the gre y correlat ion model, hierarchy grey t heory. But in practica l engineering, the mathe mat ics decis io n methods appear to be too comp licated, that polic ymakers cannot co mprehend those sophist icated theoretica l and use them. Therefore this paper proposes mult ileve l grey e valuat ion method, a decis ion method which is easy to master and therefore, easy to use.This artic le mainly research among ma ny b ids that could satis fy t he requireme nt of structure scheme, how the owners do an integrated eva luat ion of the program of econo mic and technical s imply and rapidly. Through the literature research, this art icle find out the present s ituat ion o f deep foundatio n pit support scheme and deve lopment sit uat ion at home and abroad, and comb ined wit h the literature in the fie ld survey and questionna ire data of deep foundation pit support sche me establis h the eva luat ion index system, on the basis of t he mult ileve l grey eva luat ion model is established, through mult ileve l grey evaluatio n method, the author calculate the integrated value of different bids, and confir m the best one by sort ing. In the fina l of this paper,the applic ation of mult ileve l grey eva luat ion method to yinchuan xixia wanda plaza for deep foundation p it supporting e ngineering bidding pla n select ion, to verify t he simp licit y and operab ility of this method, provid ing an effic ient and practical method for the selection of future projects. |