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A method for generalized fuzzy rough sets and application to fuzzy control systems

机译:广义模糊粗糙集的一种方法及其在模糊控制系统中的应用

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Zadeh fuzzy set is defined with single fuzzy membership for incomplete information. Fuzzy set with two fuzzy membership functions "True" and "False" will give more information than the single fuzzy membership function. Zadeh and Mamdani fuzzy conditional inferences need to know both "Precedent part" and "Consequent part". In many applications like Medical diagnosis, Business intelligence and Control systems, the consequent part may not be known. In this paper, fuzzy conditional inference is studied when consequent part is not known. Generalized fuzzy logic with two membership function is studied for Rough sets. Fuzzy Certainty Factor (FCF) is studied as the difference of "True " and "False" to eliminate the conflict of evidence The fuzzy control system is given as an application.
机译:Zadeh模糊集定义为具有不完整信息的单个模糊成员。具有两个模糊隶属度函数“ True”和“ False”的模糊集将比单个模糊隶属度函数提供更多的信息。 Zadeh和Mamdani模糊条件推论需要知道“先例部分”和“后继部分”。在医疗诊断,商业智能和控制系统等许多应用中,结果部分可能是未知的。在本文中,研究了结果部分未知时的模糊条件推理。针对粗糙集,研究了具有两个隶属度函数的广义模糊逻辑。研究模糊确定性因子(FCF)作为“ True”和“ False”的区别,以消除证据冲突。给出了模糊控制系统的应用。

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