Results 11 to 20 of about 365,096 (302)
AIMS Mathematics, 2023 Stochastic disturbances often occur in real-world systems which can lead to undesirable system dynamics. Therefore, it is necessary to investigate stochastic disturbances in neural network modeling.
R. Sriraman +4 more
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Fuzzy-rough set models and fuzzy-rough data reduction
Croatian Operational Research Review, 2020 Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi +1 more
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Journal of Modern Power Systems and Clean Energy, 2017 This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI +3 more
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Basic fuzzy arithmetic operations using α–cut for the gaussian membership function [PDF]
Journal of Fuzzy Extension and Applications, 2022 Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian
Leonce Leandry +2 more
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Fuzzy Real Option Evaluation of Real Estate Project Based on Risk Analysis
Systems Engineering Procedia, 2011 AbstractThe initial investment decision-making of the real estate project is very important. It requires making the right assessment of engineering project risk, then judging the project potential value which is affected by the risk factors. Within this context, fuzzy mathematics is used to assess the levels of income risk and cost risk in the real ...
Mao, Yihua, Wu, Wenjing
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An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
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Study of Fuzzy σ-Ring and Some Related Concepts
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2022 This paper introduces the concept of fuzzy σ-ring as a generalization of fuzzy σ-algebra and basic properties; examples of this concept have been given.
Ibrahim S Ahmed +2 more
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Fuzzy Regression Analysis with an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This work investigates the analysis of fuzzy regression in case of the data being fuzzy or non-fuzzy. The analysis is performed by several methods , such as fuzzy linear regression (FLR) and modified one, and fuzzy linear regression with least squares (
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A hierarchical Mamdani-type fuzzy modelling approach with new training data selection and multi-objective optimisation mechanisms: A special application for the prediction of mechanical properties of alloy steels [PDF]
, 2011 In this paper, a systematic data-driven fuzzy modelling methodology is proposed, which allows to construct Mamdani fuzzy models considering both accuracy (precision) and transparency (interpretability) of fuzzy systems. The new methodology employs a fast
Alcala +47 more
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IET Renewable Power Generation, 2021 Aiming at the problem that the grid‐connected power fluctuation of the photovoltaic power system affects the stability of grid operation, a multivariable fuzzy coordinated control strategy for photovoltaic grid‐connected power fluctuation based on super ...
Dong Xu, Honglei Cen
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