<p>The foundation for maintaining rural road bridges is weak in most parts of China, necessitating an urgent improvement in maintenance decision-making. First, Combining examples of rural road bridges in a county in China and existing detection data, the grey Markov model was used to predict the technical condition of the example bridges for 5&#xa0;years. Secondly, Adopting the rough set index screening method to screen and optimize evaluation indicators, 5 primary indicators and 13 secondary indicators were selected. Thirdly, Using the cloud model analytic hierarchy process, the subjective weights were calculated; Using the entropy weight method, the objective weights were calculated; Based on the least squares method and fuzzy entropy weighting method, combined weight was obtained; after that, the maintenance sequence for rural road bridges was obtained. Based the benefit cost ratio of bridge maintenance measures are at their lowest, the optimal maintenance timing for the bridge was obtained. At last, the above theories and methods can provide reference basis for rural road bridges maintenance decision-making.</p>