Results 31 to 40 of about 9,960 (247)
Complex Uncertainty of Surface Data Modeling via the Type-2 Fuzzy B-Spline Model
Mathematics, 2021 This paper discusses the construction of a type-2 fuzzy B-spline model to model complex uncertainty of surface data. To construct this model, the type-2 fuzzy set theory, which includes type-2 fuzzy number concepts and type-2 fuzzy relation, is used to ...
Rozaimi Zakaria +3 more
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Forecasting of Service Parts Based on Fuzzy Reliability of the Product [PDF]
Journal of Engineering Research - Egypt, 2023 This paper presents a forecasting model depends on the reliability of product and the failure of its parts to forecast the required quantity of spare parts.
Maha El-Sakka +3 more
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A Novel Semi-Supervised Fuzzy C-Means Clustering Algorithm Using Multiple Fuzzification Coefficients
Algorithms, 2021 Clustering is an unsupervised machine learning method with many practical applications that has gathered extensive research interest. It is a technique of dividing data elements into clusters such that elements in the same cluster are similar. Clustering
K. Tran, Manh-Kien Tran, Michael Fowler
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Three de-intuitionistic fuzzification procedures over circular intuitionistic fuzzy sets [PDF]
, 2023 Circular Intuitionistic Fuzzy Sets (CIFS) are one of the newest extensions of the intuitionistic fuzzy sets.
Lilija C. Atanassova
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A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems
Energies, 2023 Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics.
Grzegorz Filo
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A blind and high-capacity data hiding of DICOM medical images based on fuzzification concepts
, 2021 Data hiding technique using steganography prospered widely due to its high un-detectability, flexibility to the size of hidden data, and robustness against compression and other image processes.
A. Elhadad, A. Ghareeb, Safia Abbas
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Journal of Physics, Conference Series, 2021 De-i-fuzzification is a process of converting the intuitionistic fuzzy set into a fuzzy set. It becomes one of the core procedures in fuzzy time series forecasting model based on the intuitionistic fuzzy set. In this paper, we propose a fuzzy time series
N. M. F. Alam, N. Ramli, A. Mohd
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Entropy, 2021 Software estimation involves meeting a huge number of different requirements, such as resource allocation, cost estimation, effort estimation, time estimation, and the changing demands of software product customers.
Nevena Rankovic +3 more
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Fuzzy Mapped Histogram Equalization Method for Contrast Enhancement of Remotely Sensed Images
IEEE Access, 2020 Histogram equalisation (HE) is a widely used image contrast enhancement technique which is less computationally complex, but it fails to preserve the brightness and natural appearance of the remotely sensed images.
Mohammad Farhan Khan +3 more
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Entropy, 2023 Relevant attribute selection in machine learning is a key aspect aimed at simplifying the problem, reducing its dimensionality, and consequently accelerating computation.
Wiesław Paja
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