LEADER 00925cam0-2200301---450- 001 990009387550403321 005 20110629102654.0 010 $a978-88-13-31149-0 035 $a000938755 035 $aFED01000938755 035 $a(Aleph)000938755FED01 035 $a000938755 100 $a20110628d----2011km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aProcedura della mediazione per la conciliazione delle controversie civili e commerciali$fGian Paolo Califano 210 $aPadova$cCedam$d2011 215 $aXIII, 107 p.$d24 cm 676 $a323.42$v12.$zita 700 1$aCalifano,$bGian Paolo$0258659 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009387550403321 952 $aAA-257$b15076$fDDRC 959 $aDDRC 996 $aProcedura della mediazione per la conciliazione delle controversie civili e commerciali$9764402 997 $aUNINA LEADER 03764nam 22006732 450 001 9910782902103321 005 20230327234854.0 010 $a1-107-11244-3 010 $a0-511-64269-5 010 $a1-282-38890-8 010 $a9786612388903 010 $a1-139-16384-1 010 $a0-511-03955-7 010 $a0-511-15082-2 010 $a0-511-55553-9 010 $a0-511-05298-7 035 $a(CKB)1000000000008268 035 $a(EBL)803086 035 $a(OCoLC)614616841 035 $a(SSID)ssj0000266126 035 $a(PQKBManifestationID)11225162 035 $a(PQKBTitleCode)TC0000266126 035 $a(PQKBWorkID)10300589 035 $a(PQKB)11051318 035 $a(UkCbUP)CR9781139163842 035 $a(MiAaPQ)EBC803086 035 $a(MiAaPQ)EBC201495 035 $a(Au-PeEL)EBL803086 035 $a(CaPaEBR)ebr10014989 035 $a(CaONFJC)MIL238890 035 $a(Au-PeEL)EBL201495 035 $a(EXLCZ)991000000000008268 100 $a20141103d2000|||| uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUsing German synonyms /$fMartin Durrell 210 1$aCambridge :$cCambridge University Press,$d2000. 215 $a1 online resource (xxv, 319 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 0 $a0-521-46954-6 311 0 $a0-521-46552-4 320 $aIncludes bibliographical references (p. 255-258) and indexes. 327 $aIntroduction: Basic Definitions and Results -- a. Linear Programming -- b. Analysis of Algorithms -- c. Graph Theory -- d. Dynamic Programming -- Pt. I. Integer Programming -- 1. The Integer Programming Problem and its Properties -- 2. Formulations in Logical Variables -- 3. Applications and Special Structures -- 4. Reformulation of Problems -- 5. Cutting Plane Methods -- 6. Branch and Bound Methods -- 7. Heuristic Algorithms -- Pt. II. Network Path Models -- 1. Tree Networks -- 2. Shortest Path Problems -- 3. Traveling Salesman Problems and Extensions -- 4. Arc Routing -- Pt. III. Network Flow and Network Design Models -- 1. Basic Principles of Network Models -- 2. Applications of Network Flow Models -- 3. Network Flow Algorithms -- 4. Multicommodity Network Flows -- 5. Networks with Congestion. 330 $aThis book, designed for students who have already developed a basic competence in German, aims to broaden and improve their vocabulary by providing detailed information on groups of German words with related meanings. It is invaluable as a guide to finding the right word for the context. In order to enhance understanding of the structure of the German vocabulary, groups of synonyms are organised under German (rather than English) headwords. All entries are accompanied by an example of usage and English glosses and there are two indexes allowing users quickly to locate words in German or English. The book takes full account of register variation, indicating the degree of formal or informal use, and reflects regional usage especially in Austria and Switzerland. It is an essential reference for intermediate and advanced students as well as teachers and other professional linguists seeking access to the finer nuances of the German language. 606 $aGerman language$xSynonyms and antonyms 606 $aGerman language$xUsage 615 0$aGerman language$xSynonyms and antonyms. 615 0$aGerman language$xUsage. 676 $a438.1 700 $aDurrell$b Martin$0198349 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910782902103321 996 $aUsing German synonyms$93777473 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