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EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR [PDF]
Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
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Implementing imperfect information in fuzzy databases [PDF]
Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inherent imperfect nature of real-world will undoubtedly introduce some deformation of human perception of real-world and may eliminate several substantial ...
Naija, Y. +5 more
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A Novel Method for Fuzzy Measure Identification
[[abstract]]Fuzzy measure and Choquet integral are effective tools for handling complex multiple criteria decision making (MCDM) problems in which criteria are inter-dependent. The identification of a fuzzy measure requires the determination of 2 2 n ?
Moussa Larbani;Chi-Yo Huang;Gwo-Hshiung Tzeng
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Backstepping Nonlinear Control Using Nonlinear Parametric Fuzzy Systems
[[abstract]]Based on nonlinear parametric fuzzy systems, an adaptive backstepping controller is proposed for a class of strict-feedback nonlinear systems.
Y.G. Leu
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Fuzzy Leibniz Ideals and Fuzzy Leibniz Subalgebras
This paper deals with applying the concept of fuzzy sets to Leibniz algebras in order to introduce and to study the descriptions of fuzzy Leibniz subalgebras and fuzzy Leibniz ideals. More concretely, our main goal is to introduce the notion of interval-valued fuzzy Leibniz ideals in Leibniz algebras. Additionally, we present some of their properties.
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Structure of Fuzzy Dot d-subalgebras [PDF]
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Fuzzy subalgebras and the lattice of fuzzy subalgebras in universal algebra
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On fuzzy topological subalgebras of BCC-algebras
Wiesław A. Dudek +2 more
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Lattice of partially ordered fuzzy subalgebras
Fuzzy Sets and Systems, 1996A \(P\)-fuzzy subalgebra of an algebra \(A\) is a mapping \(M: A\to P\) (where \(P\) is a partially ordered set) such that for every \(p\in P\) the level set \(M_p= \{x\mid x\in A, M(x)\geq p\}\) is a subalgebra of \(A\). In case \(P\) is a lattice \(L\), \(M\) is called an \(L\)-fuzzy subalgebra of \(A\).
Branimir Šešelja
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Fuzzy Sets and Systems, 1998
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Kanat S. Abdukhalikov +2 more
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Kanat S. Abdukhalikov +2 more
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