Comparative clinical response, safety, and institutional drug use efficiency of intravenous azithromycin versus erythromycin in pediatric <i>Mycoplasma pneumoniae</i> pneumonia: a real-world evidence study. [PDF]
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A hybrid dense convolutional network and fuzzy inference system for pneumonia diagnosis with dynamic symptom tracking. [PDF]
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Neurofuzzy Approximator based on Mamdani’s Model
2002Neurofuzzy approximators can take on numerous alternatives, as a consequence of the large body of options available for defining their basic operations. In particular, the extraction of the rules from numerical data can be conveniently based on clustering algorithms. The large number of clustering algorithms introduces a further flexibility. Neurofuzzy
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The continuity of Mamdani method
Proceedings. International Conference on Machine Learning and Cybernetics, 2003In this paper the continuity of fuzzy reasoning method is proposed and the usually used Mamdani method of fuzzy reasoning method is proved to be continuous with respect to some distances of fuzzy sets.
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Sugeno, Mamdani, and fuzzy Mamdani controllers put in a uniform interpolation framework
International Journal of Intelligent Systems, 1998The paper provides a general framework for proving that fuzzy controllers are universal approximators. The proposed approach is constructive meaning that one is provided with a constructive proof (method) of designing the required fuzzy controllers. Several main classes of commonly encountered fuzzy controllers (Sugeno-Takagi, Mamdani) are analyzed in ...
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Mamdani FLC with Various Implications
2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009The task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. Because the interval inputs are frequently used in various domains (online shopping, for instance), in this paper we propose an extension of this type of controller which works with intervals as inputs and ...
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Context adaptation of mamdani fuzzy rule based systems
International Journal of Intelligent Systems, 2008Summary: Context adaptation is certainly a promising approach in the development of Fuzzy Rule Based Systems (FRBSs). First, an initial rule base is extracted from heuristic knowledge of the application domain. Meanings of linguistic terms are defined so as to guarantee high interpretability of the FRBSs.
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ANALISISTINGKATKEPUASANKONSUMEN PADA RESTORAN CEPATSAJI MENGGUNAKAN FUZZY MAMDANI
Jurnal Ilmu Komputer dan Sistem Informasi, 2021The development of technology is the root of the civilization of society in carrying out their daily activities. In its application, technology can make it easy to access information that helps people to find out certain information, one of which is the level of consumer satisfaction with fast food restaurants.Fast food restaurants have become an ...
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