LEADER 01530nam2-2200433---450- 001 990001959310203316 005 20070905141318.0 035 $a000195931 035 $aUSA01000195931 035 $a(ALEPH)000195931USA01 035 $a000195931 100 $a20040826d1982----km-y0itay0103----ba 101 0 $alat 102 $aDE 105 $aa|||||||001yy 200 1 $aTancredi et Willelmi 3. regum diplomata$fedidit Herbert Zielinski 210 $aKöln-Wien$cBöhlau$d1982 215 $aXXVIII, 192 p.$cill.$d31 cm. 225 2 $aCodex diplomaticus Regni Siciliae$hSer. 1$iDiplomata regum et principum e gente Normannorum$v5 410 0$12001$aCodex diplomaticus Regni Siciliae$hSer. 1$iDiplomata regum et principum e gente Normannorum$v5 454 1$12001 461 1$1001000145747$12001$aCodex diplomaticus Regni Siciliae 600 0 $aTancredi $xDiplomi 606 0 $aGuglielmo 3. $xDiplomi 676 $a001.552 702 1$aZIELINSKI,$bHerbert 801 0$aIT$bsalbc$gISBD 912 $a990001959310203316 951 $aI.3.D. 5(XI A coll. 39/5)$b12278 L.M.$cXI A 959 $aBK 969 $aUMA 979 $aSIAV8$b10$c20040826$lUSA01$h1406 979 $aCOPAT4$b90$c20051005$lUSA01$h1442 979 $aCOPAT6$b90$c20060403$lUSA01$h1321 979 $aPATRY$b90$c20070905$lUSA01$h1411 979 $aPATRY$b90$c20070905$lUSA01$h1411 979 $aPATRY$b90$c20070905$lUSA01$h1413 996 $aTancredi et Willelmi 3. regum diplomata$91044071 997 $aUNISA LEADER 01046nam--2200361---450- 001 990005800730203316 005 20130125134533.0 010 $a978-88-15-24043-9 035 $a000580073 035 $aUSA01000580073 035 $a(ALEPH)000580073USA01 035 $a000580073 100 $a20130125d2012----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> fine del mondo$eguida per apocalittici perplessi$fTelmo Pievani 210 $aBologna$cil Mulino$d2012 215 $a183 p.$d21 cm 225 2 $aIntersezioni$v394 410 0$12001$aIntersezioni$v394 606 0 $aSpecie$xEstinzione$xCause [:] Calamità$2BNCF 676 $a576.84 700 1$aPIEVANI,$bTelmo$0325037 801 0$aIT$bsalbc$gISBD 912 $a990005800730203316 951 $aII.6. 1502$b239338 L.M.$cII.6.$d00313209 959 $aBK 969 $aUMA 979 $aPASSARO$b90$c20130125$lUSA01$h1343 979 $aPASSARO$b90$c20130125$lUSA01$h1345 996 $aFine del mondo$9828750 997 $aUNISA LEADER 04926nam 2200733 a 450 001 9910437900103321 005 20200520144314.0 010 $a9786613934673 010 $a9781283622226 010 $a128362222X 010 $a9781447143758 010 $a1447143752 024 7 $a10.1007/978-1-4471-4375-8 035 $a(CKB)2670000000245840 035 $a(EBL)1030526 035 $a(OCoLC)809202201 035 $a(SSID)ssj0000745904 035 $a(PQKBManifestationID)11462822 035 $a(PQKBTitleCode)TC0000745904 035 $a(PQKBWorkID)10859346 035 $a(PQKB)11577535 035 $a(DE-He213)978-1-4471-4375-8 035 $a(MiAaPQ)EBC1030526 035 $a(PPN)168293307 035 $a(EXLCZ)992670000000245840 100 $a20120907d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDecision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods$hVolume 2 /$fR. Venkata Rao 205 $a1st ed. 2013. 210 $aLondon $cSpringer$d2013 215 $a1 online resource (296 p.) 225 0 $aDecision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods ;$vv. 2 225 0$aSpringer series in advanced manufacturing,$x1860-5168 300 $aDescription based upon print version of record. 311 08$a9781447159377 311 08$a1447159373 311 08$a9781447143741 311 08$a1447143744 320 $aIncludes bibliographical references and index. 327 $a1. Multiple Attribute Decision Making in the Manufacturing Environment -- 2. Improved Multiple Attribute Decision  Making Methods -- 3. Applications of Improved MADM Methods to the Decision Making Problems of Manufacturing Environment -- 4. A Novel Subjective and Objective Integrated Multiple Attribute Decision Making Method -- 5. A Novel Weighted Euclidean Distance Based Approach -- 6. A Combinatorial Mathematics Based Decision Making Method -- 7. Comparison of Different MADM Methods for Different Decision Making Situations of the Manufacturing Environment -- 8. Concluding Remarks. 330 $aDecision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VI?ekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker?s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples.  Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods  a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering. 410 0$aSpringer Series in Advanced Manufacturing,$x1860-5168 606 $aProduction management$xDecision making 606 $aGraph theory 606 $aFuzzy decision making 606 $aMultiple criteria decision making 615 0$aProduction management$xDecision making. 615 0$aGraph theory. 615 0$aFuzzy decision making. 615 0$aMultiple criteria decision making. 676 $a658.5 676 $a658.5036 700 $aRao$b R. Venkata$0763800 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437900103321 996 $aDecision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods$94192653 997 $aUNINA