Abstract:optimal pouring scheme selection (OPSS) is a multi-attribute decision making problem under uncertain circumstances.However

evaluation indexes for the OPSS can be fuzzy and gray.In order to improve the objectivity and credibility of the index weight

a prospect value function and an improved grey target model were introduced to describe the risk preference for decision-making.This model established positive and negative standard model by selecting the ideal optimization scheme and the ideal inferior scheme as its reference points for positive clout and the negative clout.Based on the standard modeling

a gray target transformation was performed for the calculation of grey bull’s-eye coefficient and the establishment of value-index matrix.Weight vector was calculated in the model as the maximum of comprehensive prospect value of the concrete pouring schemes.Finally

the feasibility and effectiveness of the present model were verified by a real project case

and multiple concrete pouring placement schemes were ranked automatically by the model.