模糊检索能极大提高系统处理非精确信息的能力，因而基于模糊语言的数学模型至关重要。
Fuzzy retrieves can greatly improve the ability to deal with the inaccurate information and math models based on fuzzy languages are indispensable to succes.
但是，铁路货运量受多种因素影响，且各因素的作用机制通常不能或无法用精确的数学语言来准确描述。
Railway freight volumes are influenced by multiple factors, and the action mechanisms of these factors are usually unable to be described with accurate mathematical linguistic forms.
数学语言包括文字语言、符号语言和图表(象)语言，具有逻辑性、简约性、精确性、情境性等特点。
Mathematics language includes characters, mathematical signs, charts and images. The language is characterized by logicality, simplicity, accuracy and situation.
数学语言包括文字语言、符号语言和图表(象)语言，具有逻辑性、简约性、精确性、情境性等特点。
Mathematics language includes characters, mathematical signs, charts and images. The language is characterized by logicality, simplicity, accuracy and situation.
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