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Takagi-Sugeno Fuzzy Nonlinear Control System for Optical Interferometry. [PDF]
Coradini MF +4 more
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Fukushima Outpatient Pharmacotherapy Model for Breast Cancer. [PDF]
Ozaki A +8 more
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Fuzzy Sets and Systems, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ion Chiţescu +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ion Chiţescu +2 more
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Generalized qualitative Sugeno integrals [PDF]
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Didier Dubois, Henri Prade, Bruno Teheux
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Level-Dependent Sugeno Integral
IEEE Transactions on Fuzzy Systems, 2009In this paper, a new concept of level-dependent Sugeno integral is introduced, and it is used to represent comonotone maxitive aggregation functions acting on a complete scale K. The relationship between the level-dependent Sugeno integral and some other types of fuzzy integrals is shown, and properties of the level-dependent Sugeno integral are ...
Radko Mesiar +2 more
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An extension on Sugeno integral and Pettis-Sugeno integral
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002We extend the concept of Sugeno fuzzy integral from nonnegative fuzzy measurable functions to extended real-valued fuzzy measurable functions; several necessary and sufficient conditions of absolute (S)-integrability for extended real-valued fuzzy measurable functions are given. Meanwhile, the space (S(/spl mu/), /spl rho/(.,.)) of all fuzzy measurable
null Wu Congxin, M. Traore
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Sandor’s inequality for Sugeno integrals
Applied Mathematics and Computation, 2011Q1
Caballero, J., Sadarangani, K.
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Observers for Takagi-Sugeno fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, 2002We focus on the analysis and design of two different sliding mode observers for dynamic Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple affine local linear models that are smoothly interpolated by weighting functions resulting from a fuzzy partitioning of the state space of a given nonlinear system subject to ...
P, Bergsten, R, Palm, D, Driankov
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Takagi-Sugeno Type Fuzzy Automaton Model
International Conference on Fuzzy Systems, 2009Tracking the status of an event-driven, large control system is a difficult problem. Those systems often encounter unexpected events in an uncertain environment. Using a fuzzy automaton offers an effective approximation method to model continuous and discrete signals in a single theoretical framework.
Janos L. Grantner, George A. Fodor
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2010
In this chapter we first introduce the continuous-time Takagi-Sugeno (TS) fuzzy systems that are employed throughout the book. In the second part of the chapter, we present methods to construct TS models that represent or approximate a nonlinear dynamic system starting from a given model of this system.
Zsófia Lendek +3 more
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In this chapter we first introduce the continuous-time Takagi-Sugeno (TS) fuzzy systems that are employed throughout the book. In the second part of the chapter, we present methods to construct TS models that represent or approximate a nonlinear dynamic system starting from a given model of this system.
Zsófia Lendek +3 more
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