Fuzzy optimization of water resources project scheme based on improved grey relation analysis

Aiming at the fuzzy and correlation among technical evaluation indexes in the water resources project design scheme, the paper studied the decision-making problem of system design scheme. Based on the preferred subjection degree and grey incidence, the method of improving grey incidence fuzzy decision-making was proposed. It aimed to seek the optimal design scheme of complex systems from the whole perspectives. Original datas were non-dimensionalized and normalized by using fuzzy math subjection function theory. The technical index weight set and grey incidence coefficient matrix were built to avoid the information loss of technical indexes in the evaluation process. The fuzzy optimization of water resources project design scheme was implemented through a comprehensive evaluation model. Finally, a water resources project was taken as an example. The verified model can effectively reduce subjective disturbance in the evaluation process and make the decision of design scheme more comprehensive and objective.