【摘要】 代谢综合征(MS)是现代社会中多种疾病在人体集结的一种状态,可能导致心脑血管疾病的发生甚至导致患者死亡。MS的产生是一个缓慢的过程,早期干预能够有效缓解疾病的发生,而MS的评估是对其进行早期干预的基础。本文提出了一种基于主成分分析(PCA)的MS模糊综合评价方法,该方法首先利用PCA对影响MS指标的历史数据进行处理以获得各个指标的权重,然后运用建立的模糊综合评价法对获得的单次指标进行评估从而获得人体的健康得分,为早期采取有效的干预措施提供客观依据。最后通过示例仿真验证了本文方法的可行性和有效性。更多还原

【Abstract】 In modern society,metabolic syndrome(MS) occurs in a state in which many diseases gather in the human body and can directly lead to cardiovascular diseases and even to death.MS generates slowly,and the early intervention,the basis of which is the evaluation of MS,can effectively alleviate the diseases.This paper presents an MS fuzzy comprehensive evaluation method based on principal component analysis(PCA).The method firstly deals with the historical data that impact the indexes of MS to obtain the weight of each index by using PCA.Then it evaluates each index to get the human health score by using fuzzy comprehensive evaluation method,and therefore it provides objective basis for the early effective intervention.Finally we verified the feasibility and effectiveness of the method using demonstration and simulation.更多还原