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旅游环境质量评价的实质是建立区域旅游环境质量评价指标与其等级之间的非线性关系。基于此,提出了基于加速遗传算法的改进理想区间法(AGAIIM)。AGAIIM直接由旅游环境质量评价标准样本数据驱动,把利用全部隶属度值信息进行计算的旅游环境质量相对等级值作为旅游环境质量的评价结果,可避免应用最大隶属度原则进行判断所可能造成的失真,提高了旅游环境质量评价的精度。
The essence of tourism environmental quality assessment is to establish the nonlinear relationship between the evaluation index of regional tourism environmental quality and its rank. Based on this, an improved ideal interval method (AGAIIM) based on accelerated genetic algorithm is proposed. AGAIIM is directly driven by the sample data of tourism environment quality evaluation. Taking relative tourism environment quality level calculated by using all membership value information as evaluation result of tourism environment quality, AGAIIM can avoid the distortion that may be caused by applying the principle of maximum membership degree , Improve the quality of tourism environment evaluation accuracy.