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A fuzzy rule-based model to assess the effects of global warming, pollution and harvesting on the production of Hilsa fishes
Ecological Informatics ( IF 5.1 ) Pub Date : 2020-02-21 , DOI: 10.1016/j.ecoinf.2020.101070
Anupam Khatua , Soovoojeet Jana , Tapan Kumar Kar

In South Asian countries, Tenualosa ilisha, well known as Hilsa, is considered as one of the most economically important fish species. Production of Hilsa fishes depends on many factors including global warming, water pollution and harvesting. This article proposes a new mathematical model using fuzzy inferences to investigate the impacts of global warming, water pollution and harvesting of juvenile fishes on the production of mature Hilsa fishes. Mamdani inference method has been applied for the fuzzy rule-based model. The model is executed by using the Fuzzy Logic Toolbox of MATLAB.



中文翻译:

基于模糊规则的模型,用于评估全球变暖,污染和收获对希尔萨鱼产量的影响

在南亚国家,Tenualosa ilisha(众所周知的Hilsa)被认为是经济上最重要的鱼类之一。希尔萨鱼的生产取决于许多因素,包括全球变暖,水污染和捕捞。本文提出了一个使用模糊推理的新数学模型,以研究全球变暖,水污染和幼鱼捕捞对成熟的希尔沙鱼生产的影响。Mamdani推理方法已应用于基于模糊规则的模型。该模型是通过使用MATLAB的Fuzzy Logic Toolbox执行的。

更新日期:2020-02-21
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