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A New Efficient Approach for Updating Formal Fuzzy Concepts [PDF]
IJCI International Journal of Computers and Information, 2023 Formal fuzzy concept analysis is an effective data analysis and mining technique in the real world. However, deriving formal fuzzy concepts is an NP problem that demands substantial time and storage resources.
Ebtesam Shemis +3 more
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Stability analysis with general fuzzy measure: An application to social security organizations.
PLoS ONE, 2022 An effective method for evaluating the efficiency of peer decision-making units (DMUs) is data envelope analysis (DEA). In engineering sciences and real-world management problems, uncertainty in input and output data always exists.
Nasim Arabjazi +3 more
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Journal of Applied Science and Engineering, 2022 Although the systematic emergence of the fuzzy functional analysis theory has started in the last few years, we are starting to construct a new theory of fuzzy operator ideals inspired by the classical (crisp) operator ideals theory.
Laith K. Shaakir +2 more
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Application of improved fuzzy best worst analytic hierarchy process on renewable energy [PDF]
PeerJ Computer Science, 2021 In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number.
Priyanka Majumder +3 more
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Bipolar Dissimilarity and Similarity Correlations of Numbers
Mathematics, 2022 Many papers on fuzzy risk analysis calculate the similarity between fuzzy numbers. Usually, they use symmetric and reflexive similarity measures between parameters of fuzzy sets or “centers of gravity” of generalized fuzzy numbers represented by real ...
Ildar Z. Batyrshin, Edit Tóth-Laufer
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IEEE Access, 2020 This paper presents a real-time machine learning control (MLC) of articulated robotic manipulators using artificial bee colony optimization (ABC) algorithm incorporated with fuzzy theory. The modified ABC with dynamic weight is used to optimize the fuzzy
Hsu-Chih Huang, Chun-Chia Chuang
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Fractal and Fractional, 2022 Partial differential equations are known to be increasingly important in today’s research, and their solutions are paramount for tackling numerous real-life applications.
Sarmad A. Altaie +5 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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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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