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

机译:一种广义模糊粗糙集和模糊控制系统的应用方法

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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模糊集定义为不完整信息的单一模糊会员资格。模糊设置具有两个模糊会员函数“true”和“false”将提供比单一模糊会员函数的更多信息。 Zadeh和Mamdani模糊的条件推断需要了解“先决部分”和“随之而来的”。在许多应用中,如医疗诊断,商业智能和控制系统,因此可能无法知道。在本文中,在未知的部分时,研究了模糊条件推理。研究了具有两个隶属函数的广义模糊逻辑,用于粗糙集。模糊确定因子(FCF)被研究为“真实”和“假”的差异,以消除模糊控制系统作为应用程序的证据冲突。

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