Uncertain Multi-Criteria Optimization Problems

• Muut tekijät: Pamučar, Dragan (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Aiheet: 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...