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An improved method is proposed for the denoising and distortion features extraction of waveform signals. Firstly, the standardized waveform signal is input into the modified alternative mixing type of morphological filter (AMMF), in which the traditional dilation operator and erosion operator are replaced by mean-dilation operator and mean-erosion operator. Then, the distortion features extraction...
To evaluate solutions of power distribution system planning (PDSP) is an essential task in smart grid and requires multi-criteria decision making (MCDM). However, the vagueness of attribute values and the fuzziness of weights of criteria need integrate fuzzy techniques with MCDM. In order to incorporate the issues with uncertainty in PDSP evaluation, this paper proposes a novel PDSP approach based...
A complex fuzzy relation is defined as a fuzzy relation whose membership function takes values in the unit circle on a complex plane. This paper first investigates various operation properties of a complex fuzzy relation. It then defines the distance measure of two complex fuzzy relations that can measure the differences between the grades as well as the phases of two complex fuzzy relations. This...
Stock index prediction seems to be a challenging task of the financial time series prediction process especially in emerging markets with their complex and inefficient structures. Multivariate adaptive regression splines (MARS) is a nonlinear and non-parametric regression methodology and has been successfully used in classification tasks. However, there are few applications using MARS in stock index...
In this study, an independent component analysis (ICA)-based signal reconstruction with neural network is proposed for financial time series forecasting. ICA is a novel statistical signal processing technique that was originally proposed to find the latent source signals from observed mixture signal without knowing any prior knowledge of the mixing mechanism. The proposed approach first uses ICA on...
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