top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Civil Engineering and Symmetry / Jurgita Antuchevičienė, Romualdas Bausys, Edmundas Kazimieras Zavadskas
Civil Engineering and Symmetry / Jurgita Antuchevičienė, Romualdas Bausys, Edmundas Kazimieras Zavadskas
Autore Antuchevičienė Jurgita
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (198 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato railway wagon
rough sets
Additive Ratio Assessment (ARAS)
neural network
cost estimation
boarding/deboarding strategies
optimisation
multi-criteria decision-making (MCDM)
Step-Wise Weight Assessment Ratio Analysis (SWARA)
ruled surface
seat preference
image processing
risk management
fuzzy sets
supply chain
Grasshopper
experimental test
parametric design
rough Best–Worst Method (BWM)
EDAS
artificial neural networks
3D modelling
civil engineering
shovel machine
interval-valued fuzzy Additive Ratio Assessment
airplane turn time
oil and gas well drilling projects
MCDM
roof shell
consistent fuzzy preference relation (CFPR)
DEMATEL
tool-flank-wear monitoring
analytical network process (ANP)
logistics
multi criteria decision making
internal transport
conceptual design
hybrid MCDM
structural analysis
D number
construction
architecture
multiple-criteria decision-making (MCDM)
performance evaluation
rough number
construction project risk
multi-attributive border approximation area comparison (MABAC)
finite element method (FEM)
manufacturing engineering
transportation
experimental testing
hybrid model
flexible manufacturing
rough Simple Additive Weighting (SAW)
D numbers
multivariate regression
ISBN 9783039210039
3039210033
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346836603321
Antuchevičienė Jurgita  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Solution Models based on Symmetric and Asymmetric Information
Solution Models based on Symmetric and Asymmetric Information
Autore Antuchevi?ien? Jurgita
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (202 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 2-tuple linguistic neutrosophic numbers set (2TLNNSs)
backward cloud transformation
Bayes' theorem
Bonferroni mean (BM) operator
capital injection
combining the weights
control system
criteria weight assessment
criteria weights
data envelopment analysis
data logger
dual generalized Bonferroni mean (DGBM) operator
dual generalized geometric Bonferroni mean (DGGBM) operator
economic decisions
engineering problems
evaluating the quality of distant courses
excess-of-loss reinsurance
FAHP
full fuzzy environment
fuzzy efficiency
fuzzy sets
generalized Bonferroni mean (GBM) operator
green supplier selection
green supply chain management
group decision-making
hybrid MCDM
hybrid problem solution models
IDOCRIW
information theory
interval type-2 fuzzy set (IT2FS)
logistics
MCDM
MCGDM
measurement
multi-criteria decision-making (MCDM)
multiple attribute decision making (MADM)
multiple-criteria decision-making (MCDM)
neutrosophic numbers
nonlinear dynamics
normal cloud
optimal dividend
oscillations
pattern formation
performance
population sizes
probabilistic systems analysis
public management
Pythagorean fuzzy set
quadcopter
resources distribution
rough ARAS
rough sets
salvage value
sensor
stability
Step-wise Weight Assessment Ratio Analysis (SWARA)
subjective weights
symmetry of the method
the criteria of the weights
thrust
transaction cost
transport
Z-numbers
ISBN 3-03921-007-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346836403321
Antuchevi?ien? Jurgita  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui