Abstract:To objectively measure the randomness and ambiguity in the process of water scarcity risk assessment, the normal cloud model wasintroduced to the assessment of water scarcity risk, and a competition algorithm for football leagues-projection pursuit-normal cloud evaluationmodel was established to use for the various cities in Yunnan Province. Water shortage risk assessment was used as an example to study. Twentyindicators were selected from the water resources system to establish the water scarcity risk assessment index system and grading standards, andthe cloud generator was used to calculate the degree of membership of the water shortage risk grading evaluation index; the sample structure wasrandomly interpolated between the grading standard thresholds. Projection pursuit optimizes the objective function, uses the football leaguecompetition algorithm, particle swarm algorithm, cuckoo search algorithm and differential evolution algorithm to optimize the projection pursuitobjective function and compare them, and gives each index through the soccer league competition algorithm -projection pursuit method.According to the degree of membership matrix and weight matrix to calculate the degree of water shortage risk assessment of the degree of certaintyand make evaluation, the results were compared with the projection pursuit method and fuzzy comprehensive evaluation method. The results showthat the accuracy of the soccer league competition algorithm is higher than that of the particle swarm algorithm. Risk assessments for waterresources in Kunming, Nujiang, and Diqing indicate a low risk; Yuxi, Baoshan, Wenshan, and Dehong were assessed as lower risk; Qujing,Zhaotong, Puer, Linyi, and Honghe were assessed as moderate risk; the other cities were rated as higher risk, and the evaluation results werebasically consistent with the projection pursuit method and fuzzy evaluation method. The football league competition algorithm -projectionpursuit-normal cloud assessment model is both fuzzy and random, it can not only reflect the qualitative concept of water shortage risk assessmentrating, but also reflect the uncertainty of the degree of membership.