Dynamics under Uncertainty: Modeling Simulation and Complexity

The dynamics of systems have proven to be very powerful tools in understanding the behavior of different natural phenomena throughout the last two centuries. However, the attributes of natural systems are observed to deviate from their classical states due to the effect of different types of uncerta...

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Формат:	Online
Хэл сонгох:	англи
Хэвлэсэн:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Нөхцлүүд:	Fuzzy MARCOS Fuzzy PIPRECIA traffic risk TFN MCDM dual-rotor multi-frequency excitation non-intrusive calculation metamodel NDSL model AHP criteria weights pairwise comparisons AES PC MIMO discrete-time system state feedback and output feedback parameter dependence D numbers fuzzy sets DEMATEL multi-criteria decision-making multi-criteria optimization RAFSI method performance comparison rank reversal Magnetic Resonance Imaging (MRI) wavelet transform GARCH LLA LDA KNN BWM BWM-I multi-criteria renewable energy the CCSD method the ITARA method the MARCOS method stackers logistics ensemble techniques data mining classification and discrimination linear regression applied mathematics general prediction theory theory of mathematical modeling medical applications empathic building fuzzy grey cognitive maps Thayer’s emotion model artificial emotions affective computing n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Онлайн хандалт:	ONIX_20220111_9783036515762_517
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

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ONIX_20220111_9783036515762_517

Dynamics under Uncertainty: Modeling Simulation and Complexity

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