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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| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (210 p.) |
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Pamučar, Dragan edt Dynamics under Uncertainty: Modeling Simulation and Complexity Dynamics under Uncertainty Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (210 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 uncertainties. Actually, randomness and impreciseness are the two major sources of uncertainties in natural systems. Randomness is modeled by different stochastic processes and impreciseness could be modeled by fuzzy sets, rough sets, Dempster–Shafer theory, etc. English Research & information: general bicssc Mathematics & science bicssc 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 3-0365-1576-3 3-0365-1575-5 Marinkovic, Dragan edt Kar, Samarjit edt Pamučar, Dragan oth Marinkovic, Dragan oth Kar, Samarjit oth |
| language |
English |
| format |
eBook |
| author2 |
Marinkovic, Dragan Kar, Samarjit Pamučar, Dragan Marinkovic, Dragan Kar, Samarjit |
| author_facet |
Marinkovic, Dragan Kar, Samarjit Pamučar, Dragan Marinkovic, Dragan Kar, Samarjit |
| author2_variant |
d p dp d m dm s k sk |
| author2_role |
HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
| title |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| spellingShingle |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_full |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_fullStr |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_full_unstemmed |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_auth |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_alt |
Dynamics under Uncertainty |
| title_new |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
| title_sort |
dynamics under uncertainty: modeling simulation and complexity |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2021 |
| physical |
1 electronic resource (210 p.) |
| isbn |
3-0365-1576-3 3-0365-1575-5 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
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(CKB)5400000000042590 (oapen)https://directory.doabooks.org/handle/20.500.12854/76782 (EXLCZ)995400000000042590 |
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cr |
| is_hierarchy_title |
Dynamics under Uncertainty: Modeling Simulation and Complexity |
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