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561“…This paper proposes a Takagi–Sugeno (TS) fuzzy sliding mode observer (SMO) for simultaneous actuator and sensor fault reconstruction in a class of nonlinear systems subjected to unknown disturbances. …”
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562“…FLHI consists of a Takagi-Sugeno fuzzy inference system where membership functions act as kernel functions of an interpolator. …”
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563“…This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi-Sugeno-Kang- (TSK-) type fuzzy systems design. Instead of the generic initialization usually used in most population-based algorithms, ACODM-I proposes an ad hoc application-specific initialization for generating the initial ant solutions to improve the accuracy of fuzzy system design. …”
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564“…In this research, a mathematical model of human resource allocation problem is presented, and then Sugeno Fuzzy Inference (SFI) model is used in the tasks rate adjustment layer. …”
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565“…To this end, this paper proposes a generalized multi-skill aggregation method based on the Sugeno integral (SI-GAM) and introduces fuzzy measures to characterize the complex interactions between skills. …”
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566“…Ultimately, using an adaptive neuro-fuzzy inference system (ANFIS), we have formulated our desired model, a Takagi–Sugeno fuzzy inference system. Further, with the help of this model, we have established one’s change in health condition with age due to COVID-19 infection. …”
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567por de Albuquerque e Melo, Alcilia Afonso“…El articulo trata sobre la trayectoria profesional del arquitecto portugués Delfim Amorim (1917/1972), que en los años 50 emigró de Portugal a Brasil en busca de oportunidades personales y profesionales, huyendo de la dictadura de Salazar. El objetivo del texto es observar el proceso migratorio del arquitecto, y la permanencia en la contemporaneidad de sus principios proyectuales apoyados en la modernidad arquitectónica, adoptada en Recife, noreste de Brasil: la ciudad donde el arquitecto vivió actuando como docente y arquitecto, hacia su muerte precoz a los 55 años. …”
Publicado 2021
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568“…The proposed algorithm provides a better-quality fused image and is superior to other existing methods such as PCA, DWTPCA, contourlet transform (CONT), DWT with fuzzy logic, Sugeno’s intuitionistic fuzzy set, Chaira’s intuitionistic fuzzy set, and PC-NSCT. …”
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569“…Since it is not easy to solve the robust regulation design problem of synthetic gene networks by non-linear stochastic game method directly, the Takagi–Sugeno (T–S) fuzzy model is proposed to approximate the non-linear synthetic gene network via the linear matrix inequality (LMI) technique through the Robust Control Toolbox in Matlab. …”
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570por Goyal, Neeraj Kumar, Kumar, Abhay, Acharya, Rajiba L., Dwivedi, Udai Shankar, Trivedi, Sameer, Singh, Pratap Bahadur, Singh, T. N.“…Here, we applied Takagi Sugeno Kang model (TSK) due to its close solution to our aim. …”
Publicado 2007
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571por Norouzi, Jamshid, Yadollahpour, Ali, Mirbagheri, Seyed Ahmad, Mazdeh, Mitra Mahdavi, Hosseini, Seyed Ahmad“…The threshold value of 15 cc/kg/min/1.73 m(2) of glomerular filtration rate (GFR) was used as the marker of renal failure. A Takagi-Sugeno type ANFIS model was used to predict GFR values. …”
Publicado 2016
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572por Lee, Jae-Neung, Lee, Myung-Won, Byeon, Yeong-Hyeon, Lee, Won-Sik, Kwak, Keun-Chang“…In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breeds of horse (Jeju, Warmblood, and Thoroughbred) using a neuro-fuzzy classifier (NFC) of the Takagi-Sugeno-Kang (TSK) type from data information transformed by a wavelet packet (WP). …”
Publicado 2016
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573“…The computational intricacy increases with the dimensions of the system variables especially in the typical Takagi–Sugeno (T–S) fuzzy-model. Typically, the number of rules rises exponentially as the number of system variables increases and hence, it is unfeasible to specify the rules entirely for pipeline risk assessments. …”
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574por Altameem, Ayman, Mahanty, Chandrakanta, Poonia, Ramesh Chandra, Saudagar, Abdul Khader Jilani, Kumar, Raghvendra“…The proposed fuzzy ensemble techniques outperform each individual transfer learning methodology as well as multiple advanced ensemble strategies (Weighted Average, Sugeno Integral) with reference to prediction and accuracy. …”
Publicado 2022
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575“…In this simulation study, an algorithm for combining statistics used in the preselection and prioritization of SNP markers from a high-density panel (1.3 million SNPs) into a composite “fuzzy” ranking score based on a Sugeno-type fuzzy inference system (FIS) was developed and evaluated for performance in preselection for genomic predictions. …”
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576Higher education management in western regions by educational power strategy and positive psychologypor Sun, Xiaomeng“…On the basis of fuzzy models Takagi and Sugeno (T–S), this paper constructs an educational resource recommendation model based on T–S fuzzy neural network, verifies the feasibility of the model, further combines the educational resource recommendation model with university teaching, and analyzes the application effect. …”
Publicado 2023
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577“…To deal with the nonlinearities related to the unmeasurable real-time variation in the vehicle longitudinal speed and tire slip velocities in front and rear wheels, the Takagi–Sugeno (T-S) fuzzy form was undertaken for the observer design. …”
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578por Ain, Qurat-ul, Iqbal, Sohail, Khan, Safdar Abbas, Malik, Asad Waqar, Ahmad, Iftikhar, Javaid, Nadeem“…The proposed techniques are evaluated using Mamdani FIS and Sugeno FIS. The proposed method provides a flexible and energy efficient decision-making system that maintains the user thermal comfort with the help of intelligent sensors. …”
Publicado 2018
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579por Yuste-Delgado, Antonio-Jesus, Cuevas-Martinez, Juan-Carlos, Triviño-Cabrera, Alicia“…As a novelty, the fuzzy controller is as a Tagaki–Sugeno–Kang model and not a Mandami-one as other previous proposals. …”
Publicado 2020
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580“…In this paper, a novel noise-insensitive Takagi–Sugeno–Kang (TSK) fuzzy system based on interclass competitive learning is proposed for EEG signal recognition. …”
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