Uncertain Multi-Criteria Optimization Problems

Uncertain Multi-Criteria Optimization Problems

Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many arti...

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Bibliographic Details
Other Authors: Pamučar, Dragan (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Information technology industries
multiple-criteria decision-making
underground mines
mining methods
expert knowledge
failure mode and effects analysis
solar panel systems
step-wise weight assessment ratio analysis
grey relational analysis
Z-number theory
B2C e-commerce factors
website
MCDM
Fuzzy AHP
TOPSIS-Grey
China
IoT
platform selection
multi criteria decision analysis (MCDA)
AHP
PROMETHEE-II
Industry 4.0
data envelopment analysis
conjoint analysis
experimental design
criteria importance
weight restrictions
subjective and objective teacher efficiency
multi-objective planning
reverse supply chain
robust optimization
uncertainty
meta-heuristic algorithm
steel making industry
fuzzy PIPRECIA
fuzzy EDAS
railway
multi-criteria decision-making
transport policy
Six Sigma (6σ)
DMAIC
vehicle fleet
optimization
text mining
Multi-Attribute Decision Making (MADM), criteria selection
weighting
Prospective MADM
Latent Semantic Analysis (LSA)
SIMUS
decision tree
transport plan
Laplace's criterion
Hurwitz's criterion
q-rung orthopair fuzzy numbers
q-rung orthopair fuzzy prioritized weighted average operator
q-rung orthopair fuzzy prioritized weighted geometric operator
green supply chain management
fuzzy theory
sustainable development
SCOR model
FAHP
PROMETHEE II
textile and garments industry
sustainable supplier selection
MCDA
efficiency
DEA
SFA
classification
dimensionality reduction
q-ROFNs
Einstein operators
prioritized aggregation operators
multi-criteria group decision making
hazardous materials
vehicle route model (VRP)
uncertainty theory
chance constrained programming model
hybrid intelligent algorithm
linear Diophantine fuzzy set
linear Diophantine fuzzy soft rough set
soft rough linear Diophantine fuzzy set
upper reduct and lower reduct
core set
multi-criteria decision making
q-Rung orthopair fuzzy sets
geometric aggregation operators based on generalized and group-generalized parameters
water loss management
decision making
intuitionistic fuzzy sets
the COMET method
service quality
fuzzy set
Jensen-Shannon divergence
shapley function
TODIM
port-hinterland transportation system
bi-objective programming
intermodal transportation
carbon emissions
uncertain demand
distributionally robust
chance constraint
Yangtze River Economic Belt
multi-criteria decision-analysis
MCDA benchmark
normalization
entropy
decision-making methods
multi-criteria problems
evolutionary algorithms
machine learning
fuzzy logic
uncertain data
consistency weights
fuzzy preference relation (FPR)
hesitant fuzzy preference relation (HFPR)
Łukasiewicz consistency
normal hesitant fuzzy preference relation (NHFPR)
multiple criteria decision-making (MCDM)
outsourcing provider
DEMATEL
CRITIC
TOPSIS
comparison measure
representation
disjoint
multiplicative preference relation (MPR)
group decision-making (GDM)
incomplete fuzzy preference relation (IFPR)
TL-consistency
cubic m-polar fuzzy set
Dombi's operations
cubic m-polar fuzzy aggregation operators with P-order (R-order)
SIR technique
complex networks
social networks
viral marketing
information propagation
crisp probability
interval probability
influence diagrams
circuit breakers
granular computing
interval-valued
intuitionistic fuzzy set
multiple granulation
ordered information system
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