Algebraic Formulation and Application of Multi-Input Single-Output Hierarchical Fuzzy Systems With Correction Factors

Sun, Changle; Li, Haitao

doi:10.1109/tfuzz.2022.3220942

Cited by 7 publications

(2 citation statements)

References 46 publications

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“…Recently, machine learning and fuzzy inference methods are also used to solve this problem, but it seems we still have a long way to reach promising solutions. The algebraic formulation of fuzzy relation is studied in [1,2].…”

Section: Introductionmentioning

confidence: 99%

Cross-Mesh Clock Network Synthesis

et al. 2023

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In the clock network design, the trade-off between power consumption and timing closure is an important and difficult issue. The clock tree architecture has a shorter wire length and better power consumption, but it is more difficult to achieve timing closure with it. On the other hand, clock mesh architecture is easier to satisfy the clock skew constraint, but it usually has much more power consumption. Therefore, a hybrid clock network architecture that combines both the clock tree and clock mesh seems to be a promising solution. In a normal hybrid mesh/tree structure, a driving buffer is placed in the intersection of mesh lines. In this paper, we propose a novel cross-mesh architecture, and we distribute the buffers to balance the overall switching capacitance, reducing the number of registers connected to a subtree, and the load capacitance of a buffer. With the average dispersion of the overall driving force, our methodology creates small non-zero skew clock trees. In addition, we integrate clock gating, register clustering, and load balancing techniques to optimize clock skew and load capacitance simultaneously. The proposed methodology has four stages: cross-mesh planning, register clustering, mesh line connecting, and load balancing. Experimental results show that our cross-mesh architecture has high tolerance for process variation, and is robust in all the operation modes. Comparing it to the uniform mesh architecture, our methodology and algorithms reduce 28.9% of load capacitance and 80.4% of clock skew on average. Compared to the non-uniform mesh architecture, we also reduce capacitance by 22.4% and skew by 76.7% on average. This illustrates that we can obtain a feasible solution effectively and improve both power consumption and clock skew simultaneously.

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Section: Introductionmentioning

confidence: 99%

Cross-Mesh Clock Network Synthesis

et al. 2023

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“…In step 1, the exact data are reported. In step 2, through the identification of fuzzy logical relations [14,15], the predictions are transformed into fuzzy quantities. Finally, step 3 provides a defuzzification approach [16][17][18][19][20][21][22] to transform the fuzzy values into crisp ones.…”

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confidence: 99%

A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data

2023

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In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well as the left and right spreads of the unknown nonlinear fuzzy smooth function. In each stage, the nonparametric Nadaraya–Watson estimator is used to evaluate the center and the spreads of the fuzzy smooth function. A hybrid algorithm is proposed to estimate the unknown optimal bandwidths and autoregressive order simultaneously. Various goodness-of-fit measures are utilized for performance assessment of the fuzzy nonlinear kernel-based time series model and for comparative analysis. The practical applicability and superiority of the novel approach in comparison with further fuzzy time series models are demonstrated via a simulation study and some real-life applications.

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