LEADER 03702nam  2201081z- 450 
001 9910674047703321
005 20220111
035   $a(CKB)5400000000042590
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76782
035   $a(oapen)doab76782
035   $a(EXLCZ)995400000000042590
100   $a20202201d2021      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aDynamics under Uncertainty: Modeling Simulation and Complexity
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 online resource (210 p.)
311 08$a3-0365-1576-3 
311 08$a3-0365-1575-5 
330   $aThe 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.
517   $aDynamics under Uncertainty
606   $aMathematics & science$2bicssc
606   $aResearch & information: general$2bicssc
610   $aAES
610   $aaffective computing
610   $aAHP
610   $aapplied mathematics general
610   $aartificial emotions
610   $aBWM
610   $aBWM-I
610   $aclassification and discrimination
610   $acriteria weights
610   $aD numbers
610   $adata mining
610   $aDEMATEL
610   $adual-rotor
610   $aempathic building
610   $aensemble techniques
610   $afuzzy grey cognitive maps
610   $aFuzzy MARCOS
610   $aFuzzy PIPRECIA
610   $afuzzy sets
610   $aGARCH
610   $aKNN
610   $aLDA
610   $alinear regression
610   $aLLA
610   $alogistics
610   $aMagnetic Resonance Imaging (MRI)
610   $aMCDM
610   $amedical applications
610   $ametamodel
610   $aMIMO discrete-time system
610   $amulti-criteria
610   $amulti-criteria decision-making
610   $amulti-criteria optimization
610   $amulti-frequency excitation
610   $an/a
610   $aNDSL model
610   $anon-intrusive calculation
610   $apairwise comparisons
610   $aparameter dependence
610   $aPC
610   $aperformance comparison
610   $aprediction theory
610   $aRAFSI method
610   $arank reversal
610   $arenewable energy
610   $astackers
610   $astate feedback and output feedback
610   $aTFN
610   $aThayer's emotion model
610   $athe CCSD method
610   $athe ITARA method
610   $athe MARCOS method
610   $atheory of mathematical modeling
610   $atraffic risk
610   $awavelet transform
615  7$aMathematics & science
615  7$aResearch & information: general
700   $aPamuc?ar$b Dragan$4edt$00
702   $aMarinkovic$b Dragan$4edt
702   $aKar$b Samarjit$4edt
702   $aPamuc?ar$b Dragan$4oth
702   $aMarinkovic$b Dragan$4oth
702   $aKar$b Samarjit$4oth
906   $aBOOK
912   $a9910674047703321
996   $aDynamics under Uncertainty: Modeling Simulation and Complexity$93059536
997   $aUNINA