Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding
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DOI: 10.1002/jcc.26089
Abstract: A novel spherical truncation method, based on fuzzy membership functions, is introduced to truncate interatomic (or interaminoacid) relations according to smoothing values computed from fuzzy membership degrees. In this method, the molecules are circumscribed into… read more here.
Keywords: truncation; fuzzy membership; membership functions; truncation method ... See more keywords
Quantifying randomness and complexity of a signal via maximum fuzzy membership difference entropy
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DOI: 10.1016/j.measurement.2021.109053
Abstract: Abstract Traditional entropies are powerful tools for dynamic analysis. However, they can merely measure one aspect of the nonlinear characteristics of a signal, such as irregularity, complexity and etc. To characterize randomness and complexity of… read more here.
Keywords: entropy; complexity; complexity signal; maximum fuzzy ... See more keywords
Analytical fuzzy approach to biological data analysis
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DOI: 10.1016/j.sjbs.2017.01.027
Abstract: The assessment of the physiological state of an individual requires an objective evaluation of biological data while taking into account both measurement noise and uncertainties arising from individual factors. We suggest to represent multi-dimensional medical… read more here.
Keywords: fuzzy membership; fuzzy approach; approach biological; analytical fuzzy ... See more keywords
Design of an optimal fuzzy controller to obtain maximum power in solar power generation system
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DOI: 10.1016/j.solener.2019.02.051
Abstract: Abstract P-V characteristic of the solar cells are nonlinear and depends on the environmental conditions such as irradiations, sunlight incident angle, cell temperature, and load conditions. Therefore it is crucial to operate the photovoltaic module… read more here.
Keywords: system; fuzzy controller; power; maximum power ... See more keywords
A Simple Tuning Algorithm of Augmented Fuzzy Membership Functions
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DOI: 10.1109/access.2020.2974533
Abstract: The successful application of fuzzy control depends to a large extent on the parameters of some subjective decisions, such as fuzzy membership function (MF). Fuzzy logic controller (FLC) implementing augmented output MFs as compare to… read more here.
Keywords: experimental outcomes; output mfs; augmented distributed; output ... See more keywords