【摘要】 本文在陈守煜建立的模糊模式识别理论的构架基础上,将加权广义距离与模糊熵最小作为模式识别的复合目标函数,建立了考虑随机和模糊不确定性,使目标函数最小的新型模糊模式识别耦合模型。应用此模型对我国12个湖库的富营养化程度进行综合评价,并与原模型的双目标结果进行比较,说明本文建立的模型考虑了不确定性因素的优越性。更多还原

【Abstract】 Based on the fuzzy pattern recognition model founded by Prof. CHEN Shou-yu, this paper provides a new double objective uncertainty fuzzy pattern recognition model, which takes into account random and fuzzy uncertainty information to minimize weighted generalized distances and fuzzy entropy. The new model has been used to evaluate eutrophication degrees in 12 lakes and the double objectives results have been compared between the former model and the new model. The results show that because uncertainty is taken into account in the new model, it is superiority to the former one.更多还原