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Multiple-Criteria Decision Making

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with impr...

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Enregistré dans:
Format: Online
Langue:anglais
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2022
Sujets:
triangular fuzzy neutrosophic sets (TFNSs)
MABAC method
MCGDM problems
TFNNs-MABAC method
invested technology enterprise
sub-tour elimination constraint (SEC)
asymmetric traveling salesman problem (ATSP)
multiple-criteria decision making (MCDM)
simultaneous evaluation of criteria and alternatives (SECA)
data envelopment analysis (DEA)
additive Holt-Winters model (LTS(A,A,A))
epsilon-based measurement (EBM)
packaging industry
reverse logistics
recycling
outsource
e-commerce
triangular fuzzy number
FAHP
FTOPSIS
decision making
sustainability
aggregation
Lipschitz
computation
idempotent
multicriteria decision making model (MCDM)
location selection
Spherical Fuzzy Analytic Hierarchy Process (SF-AHP)
Combined Compromise Solution (CoCoSo)
distribution center
human development index
OWA operators
prioritized
subjectivity
time allocation
decision support system
computational intelligence
uncertainty management
Fermatean fuzzy set
Fermatean fuzzy linguistic set
Fermatean fuzzy linguistic number
MAGDM
supplier selection
MCDA
grey interval numbers
group decision-making
Python
T-spherical fuzzy set
interval-valued T-spherical fuzzy set
Hamacher aggregation operators
multi-attribute decision-making methods
q-ROFS
trust propagation model
confidence level
consensus interaction model
evaluation of online teaching quality
spherical linear diophantine fuzzy set (SLDFS)
spherical linear diophantine fuzzy soft rough set (SLDFSRS)
score function
core
reduct
MCDM
logistics provider
TOPSIS
GRA
neutrosophic set
single-valued neutrosophic set
EDAS
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Accès en ligne:ONIX_20220224_9783036528168_13
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