The increase in overfishing and pollution in Pátzcuaro Lake, Michoacán, México, has generated a severe problem in the endemic species that live there; especially the Chirostoma estor estor that has been threatened. A computational model has been developed for the evaluation of water quality in freshwater intensive farming tanks to contribute to the conservation efforts of this species. The proposed model uses a fuzzy inference system weighted through a rule categorization process. Five parameters were selected for the analysis: dissolved oxygen, pH, temperature, total ammonia, and non-ionized ammonia, because they represent the primary set of parameters that affect the water quality and health of the species studied. The measurements were made on the Chirostoma farms, and different situations were studied to define weights of importance according to the situations of negative impact on water quality. The rules are maximized or minimized with those weights and then integrated into a final score (Chirostoma Water Quality Index (CWI). The CWI values have been compared with NSF and CCME. It is noted that the CWI values are more representative of the actual state of water quality for the Chirostoma estor estor. This is because the weighted fuzzy logic approach is sensitive to all parameters and can identify harmful situations by using the rules. CWI can be a useful tool for monitoring and managing the quality of tanks, as it provides helpful information to prioritize and maintain water quality, and this in turn favors the growth, reproduction, and preservation of the species.

墨西哥米却肯州的Pátzcuaro湖的过度捕捞和污染增加，给生活在那里的特有物种带来了严重问题。特别是受到威胁的手足类雌激素。已经开发了一种计算模型，用于评估淡水集约化养殖池中的水质，以促进该物种的保护工作。提出的模型使用通过规则分类过程加权的模糊推理系统。选择五个参数进行分析：溶解氧，pH，温度，总氨和非离子氨，因为它们代表了影响所研究物种的水质和健康的主要参数。测量是在手足瘤上进行的对农场进行研究，并根据对水质造成负面影响的情况，研究了不同的情况以定义重要性的权重。使用这些权重将规则最大化或最小化，然后将其集成为最终得分（Chirostoma水质指数（CWI）。已将CWI值与NSF和CCME进行了比较。请注意，CWI值更能代表实际状态）水质为Chirostoma estor estor。这是因为加权模糊逻辑方法对所有参数敏感，并且可以使用规则识别有害情况。CWI可以成为监视和管理水箱质量的有用工具，因为它提供了有助于区分水质和保持水质的有用信息，从而有利于该物种的生长，繁殖和保存。