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Fuzzy identification of systems and its applications to modeling and control

Tomohiro Takagi; Michio Sugeno · IEEE Transactions on Systems Man and Cybernetics · 1985

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Author / responsible party
Tomohiro Takagi; Michio Sugeno
Publisher
IEEE Transactions on Systems Man and Cybernetics
Year
1985
Language
English

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A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its consequence is a linear input-output relation. The method of identification of a system using its input-output data is then shown. Two applications of the method to industrial processes are also discussed: a water cleaning process and a converter in a steel-making process.

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APA 7

Takagi, T. & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. https://doi.org/10.1109/tsmc.1985.6313399

MLA

Takagi, Tomohiro, and Michio Sugeno. "Fuzzy identification of systems and its applications to modeling and control." 1985. https://doi.org/10.1109/tsmc.1985.6313399.

Chicago

Takagi, Tomohiro and Michio Sugeno. 1985. "Fuzzy identification of systems and its applications to modeling and control.". https://doi.org/10.1109/tsmc.1985.6313399.

Harvard

Takagi, T. and Sugeno, M. 1985, Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems Man and Cybernetics, available at: https://doi.org/10.1109/tsmc.1985.6313399 [Accessed 6 Aug. 2026].

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Title
Fuzzy identification of systems and its applications to modeling and control
Author / contributors
Tomohiro Takagi; Michio Sugeno
Publisher
IEEE Transactions on Systems Man and Cybernetics
Publication year
1985
Language
English

Subjects

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Identification (biology); Fuzzy control system; Relation (database); Fuzzy logic; Subspace topology; Computer science; Process (computing); Neuro-fuzzy; Premise; Fuzzy set operations; Control engineering; Control (management)
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