LEADER 08209nam 2202089z- 450 001 9910557393803321 005 20231214133026.0 035 $a(CKB)5400000000041960 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76785 035 $a(EXLCZ)995400000000041960 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertain Multi-Criteria Optimization Problems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (86 p.) 311 $a3-0365-1574-7 311 $a3-0365-1573-9 330 $aMost 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 articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems. 606 $aInformation technology industries$2bicssc 610 $amultiple-criteria decision-making 610 $aunderground mines 610 $amining methods 610 $aexpert knowledge 610 $afailure mode and effects analysis 610 $asolar panel systems 610 $astep-wise weight assessment ratio analysis 610 $agrey relational analysis 610 $aZ-number theory 610 $aB2C e-commerce factors 610 $awebsite 610 $aMCDM 610 $aFuzzy AHP 610 $aTOPSIS-Grey 610 $aChina 610 $aIoT 610 $aplatform selection 610 $amulti criteria decision analysis (MCDA) 610 $aAHP 610 $aPROMETHEE-II 610 $aIndustry 4.0 610 $adata envelopment analysis 610 $aconjoint analysis 610 $aexperimental design 610 $acriteria importance 610 $aweight restrictions 610 $asubjective and objective teacher efficiency 610 $amulti-objective planning 610 $areverse supply chain 610 $arobust optimization 610 $auncertainty 610 $ameta-heuristic algorithm 610 $asteel making industry 610 $afuzzy PIPRECIA 610 $afuzzy EDAS 610 $arailway 610 $amulti-criteria decision-making 610 $atransport policy 610 $aSix Sigma (6?) 610 $aDMAIC 610 $avehicle fleet 610 $aoptimization 610 $atext mining 610 $aMulti-Attribute Decision Making (MADM), criteria selection 610 $aweighting 610 $aProspective MADM 610 $aLatent Semantic Analysis (LSA) 610 $aSIMUS 610 $adecision tree 610 $atransport plan 610 $aLaplace?s criterion 610 $aHurwitz?s criterion 610 $aq-rung orthopair fuzzy numbers 610 $aq-rung orthopair fuzzy prioritized weighted average operator 610 $aq-rung orthopair fuzzy prioritized weighted geometric operator 610 $agreen supply chain management 610 $afuzzy theory 610 $asustainable development 610 $aSCOR model 610 $aFAHP 610 $aPROMETHEE II 610 $atextile and garments industry 610 $asustainable supplier selection 610 $aMCDA 610 $aefficiency 610 $aDEA 610 $aSFA 610 $aclassification 610 $adimensionality reduction 610 $aq-ROFNs 610 $aEinstein operators 610 $aprioritized aggregation operators 610 $amulti-criteria group decision making 610 $ahazardous materials 610 $avehicle route model (VRP) 610 $auncertainty theory 610 $achance constrained programming model 610 $ahybrid intelligent algorithm 610 $alinear Diophantine fuzzy set 610 $alinear Diophantine fuzzy soft rough set 610 $asoft rough linear Diophantine fuzzy set 610 $aupper reduct and lower reduct 610 $acore set 610 $amulti-criteria decision making 610 $aq-Rung orthopair fuzzy sets 610 $ageometric aggregation operators based on generalized and group-generalized parameters 610 $awater loss management 610 $adecision making 610 $aintuitionistic fuzzy sets 610 $athe COMET method 610 $aservice quality 610 $afuzzy set 610 $aJensen?Shannon divergence 610 $ashapley function 610 $aTODIM 610 $aport-hinterland transportation system 610 $abi-objective programming 610 $aintermodal transportation 610 $acarbon emissions 610 $auncertain demand 610 $adistributionally robust 610 $achance constraint 610 $aYangtze River Economic Belt 610 $amulti-criteria decision-analysis 610 $aMCDA benchmark 610 $anormalization 610 $aentropy 610 $adecision-making methods 610 $amulti-criteria problems 610 $aevolutionary algorithms 610 $amachine learning 610 $afuzzy logic 610 $auncertain data 610 $aconsistency weights 610 $afuzzy preference relation (FPR) 610 $ahesitant fuzzy preference relation (HFPR) 610 $a?ukasiewicz consistency 610 $anormal hesitant fuzzy preference relation (NHFPR) 610 $amultiple criteria decision-making (MCDM) 610 $aoutsourcing provider 610 $aDEMATEL 610 $aCRITIC 610 $aTOPSIS 610 $acomparison measure 610 $arepresentation 610 $adisjoint 610 $amultiplicative preference relation (MPR) 610 $agroup decision-making (GDM) 610 $aincomplete fuzzy preference relation (IFPR) 610 $aTL-consistency 610 $acubic m-polar fuzzy set 610 $aDombi?s operations 610 $acubic m-polar fuzzy aggregation operators with P-order (R-order) 610 $aSIR technique 610 $acomplex networks 610 $asocial networks 610 $aviral marketing 610 $ainformation propagation 610 $acrisp probability 610 $ainterval probability 610 $ainfluence diagrams 610 $acircuit breakers 610 $agranular computing 610 $ainterval-valued 610 $aintuitionistic fuzzy set 610 $amultiple granulation 610 $aordered information system 615 7$aInformation technology industries 700 $aPamu?ar$b Dragan$4edt$01295532 702 $aPamu?ar$b Dragan$4oth 906 $aBOOK 912 $a9910557393803321 996 $aUncertain Multi-Criteria Optimization Problems$93023585 997 $aUNINA