LEADER 02957nam 2200625 a 450 001 9910790167603321 005 20230801222224.0 010 $a1-4625-0478-7 010 $a1-280-38954-0 010 $a9786613567468 010 $a1-4625-0426-4 035 $a(CKB)2670000000169069 035 $a(EBL)873348 035 $a(OCoLC)782879043 035 $a(SSID)ssj0000631670 035 $a(PQKBManifestationID)12245542 035 $a(PQKBTitleCode)TC0000631670 035 $a(PQKBWorkID)10599573 035 $a(PQKB)10213127 035 $a(MiAaPQ)EBC873348 035 $a(EXLCZ)992670000000169069 100 $a20111118d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe adult attachment projective picture system$b[electronic resource] $eattachment theory and assessment in adults /$fCarol George, Malcolm L. West 210 $aNew York $cGuilford Press$dc2012 215 $a1 online resource (321 p.) 300 $aDescription based upon print version of record. 311 $a1-4625-0425-6 320 $aIncludes bibliographical references and index. 327 $aNarrative versus non-narrative assessment of adult attachment -- Defining attachment stories as representational precipitates -- The development and validation of the AAP -- The attachment self: the AAP attachment content coding dimensions -- Defensive processes in the AAP -- Secure attachment -- Dismissing attachment -- Preoccupied attachment -- Dysregulated segregated systems: unresolved attachment, failed mourning, and preoccupation with suffering -- Using the AAP in neurobiology research. 330 $a This book presents cutting-edge research on adult attachment together with a complete overview of the Adult Attachment Projective Picture System (AAP), the authors' validated developmental assessment. In addition to identifying attachment classification groups, the AAP yields important information about dimensions--including defensive processes--not evaluated by other available measures. Detailed case illustrations show what the AAP looks like ""in action"" and what it reveals about individuals' early experiences, sense of self, and capacity to engage in close, protective relatio 606 $aAttachment behavior 606 $aAttachment disorder 606 $aAdulthood$xPsychological aspects 606 $aBehavioral assessment 615 0$aAttachment behavior. 615 0$aAttachment disorder. 615 0$aAdulthood$xPsychological aspects. 615 0$aBehavioral assessment. 676 $a155.9/2 676 $a155.92 676 $a616.8588 700 $aGeorge$b Carol$0283463 701 $aWest$b Malcolm L$01508935 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910790167603321 996 $aThe adult attachment projective picture system$93740459 997 $aUNINA LEADER 08218nam 2202101z- 450 001 9910557393803321 005 20220111 035 $a(CKB)5400000000041960 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76785 035 $a(oapen)doab76785 035 $a(EXLCZ)995400000000041960 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aUncertain Multi-Criteria Optimization Problems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (86 p.) 311 08$a3-0365-1574-7 311 08$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 $aAHP 610 $aB2C e-commerce factors 610 $abi-objective programming 610 $acarbon emissions 610 $achance constrained programming model 610 $achance constraint 610 $aChina 610 $acircuit breakers 610 $aclassification 610 $acomparison measure 610 $acomplex networks 610 $aconjoint analysis 610 $aconsistency weights 610 $acore set 610 $acrisp probability 610 $acriteria importance 610 $aCRITIC 610 $acubic m-polar fuzzy aggregation operators with P-order (R-order) 610 $acubic m-polar fuzzy set 610 $adata envelopment analysis 610 $aDEA 610 $adecision making 610 $adecision tree 610 $adecision-making methods 610 $aDEMATEL 610 $adimensionality reduction 610 $adisjoint 610 $adistributionally robust 610 $aDMAIC 610 $aDombi's operations 610 $aefficiency 610 $aEinstein operators 610 $aentropy 610 $aevolutionary algorithms 610 $aexperimental design 610 $aexpert knowledge 610 $aFAHP 610 $afailure mode and effects analysis 610 $aFuzzy AHP 610 $afuzzy EDAS 610 $afuzzy logic 610 $afuzzy PIPRECIA 610 $afuzzy preference relation (FPR) 610 $afuzzy set 610 $afuzzy theory 610 $ageometric aggregation operators based on generalized and group-generalized parameters 610 $agranular computing 610 $agreen supply chain management 610 $agrey relational analysis 610 $agroup decision-making (GDM) 610 $ahazardous materials 610 $ahesitant fuzzy preference relation (HFPR) 610 $aHurwitz's criterion 610 $ahybrid intelligent algorithm 610 $aincomplete fuzzy preference relation (IFPR) 610 $aIndustry 4.0 610 $ainfluence diagrams 610 $ainformation propagation 610 $aintermodal transportation 610 $ainterval probability 610 $ainterval-valued 610 $aintuitionistic fuzzy set 610 $aintuitionistic fuzzy sets 610 $aIoT 610 $aJensen-Shannon divergence 610 $aLaplace's criterion 610 $aLatent Semantic Analysis (LSA) 610 $alinear Diophantine fuzzy set 610 $alinear Diophantine fuzzy soft rough set 610 $a?ukasiewicz consistency 610 $amachine learning 610 $aMCDA 610 $aMCDA benchmark 610 $aMCDM 610 $ameta-heuristic algorithm 610 $amining methods 610 $amulti criteria decision analysis (MCDA) 610 $aMulti-Attribute Decision Making (MADM), criteria selection 610 $amulti-criteria decision making 610 $amulti-criteria decision-analysis 610 $amulti-criteria decision-making 610 $amulti-criteria group decision making 610 $amulti-criteria problems 610 $amulti-objective planning 610 $amultiple criteria decision-making (MCDM) 610 $amultiple granulation 610 $amultiple-criteria decision-making 610 $amultiplicative preference relation (MPR) 610 $anormal hesitant fuzzy preference relation (NHFPR) 610 $anormalization 610 $aoptimization 610 $aordered information system 610 $aoutsourcing provider 610 $aplatform selection 610 $aport-hinterland transportation system 610 $aprioritized aggregation operators 610 $aPROMETHEE II 610 $aPROMETHEE-II 610 $aProspective MADM 610 $aq-ROFNs 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 $aq-Rung orthopair fuzzy sets 610 $arailway 610 $arepresentation 610 $areverse supply chain 610 $arobust optimization 610 $aSCOR model 610 $aservice quality 610 $aSFA 610 $ashapley function 610 $aSIMUS 610 $aSIR technique 610 $aSix Sigma (6?) 610 $asocial networks 610 $asoft rough linear Diophantine fuzzy set 610 $asolar panel systems 610 $asteel making industry 610 $astep-wise weight assessment ratio analysis 610 $asubjective and objective teacher efficiency 610 $asustainable development 610 $asustainable supplier selection 610 $atext mining 610 $atextile and garments industry 610 $athe COMET method 610 $aTL-consistency 610 $aTODIM 610 $aTOPSIS 610 $aTOPSIS-Grey 610 $atransport plan 610 $atransport policy 610 $auncertain data 610 $auncertain demand 610 $auncertainty 610 $auncertainty theory 610 $aunderground mines 610 $aupper reduct and lower reduct 610 $avehicle fleet 610 $avehicle route model (VRP) 610 $aviral marketing 610 $awater loss management 610 $awebsite 610 $aweight restrictions 610 $aweighting 610 $aYangtze River Economic Belt 610 $aZ-number theory 615 7$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