LEADER 01222nam0-2200373---450- 001 990008382310403321 005 20080401095107.0 035 $a000838231 035 $aFED01000838231 035 $a(Aleph)000838231FED01 035 $a000838231 100 $a20060921d1989----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $aMaestri fiorentini nei cantieri romani del Quattrocento$eStefano Borsi, Francesco Quinterio, Corinna Vasic Vatovec$fa cura di Silvia Danesi Squarzina 210 $aRoma$cOfficina$dc1989 215 $a352 p.$cill.$d25 cm 225 1 $aFonti e documenti per la storia dell'architettura$v10 610 0 $aArte fiorentina$aRoma$aSec. 15. 610 0 $aMaestri artigiani 700 1$aBorsi,$bStefano$010886 701 1$aQuinterio,$bFrancesco$f<1948- >$0215062 701 1$aVasic Vatovec,$bCorinna$f<1949- >$036489 702 1$aDanesi,$bSilvia 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008382310403321 952 $aARCH B 1181$b3747$fFARBC 952 $a17.074$b909$fDARST 959 $aDARST 959 $aFARBC 996 $aMaestri fiorentini nei cantieri romani del Quattrocento$9724634 997 $aUNINA LEADER 00882nam0-22003011i-450- 001 990005609950403321 005 20061005115624.0 035 $a000560995 035 $aFED01000560995 035 $a(Aleph)000560995FED01 035 $a000560995 100 $a19990604d1959----km-y0itay50------ba 101 0 $afre 105 $af-------00--- 200 1 $a<>cèramiques prècolombiennes$fpar Henri Lehmann 210 $aParis$cPresses Universitaires de France$d1959 215 $aVIII, 124 p., 32 tav.$d23 cm 225 1 $a<>oeil du connaisseur 610 0 $aBelle arti$aCollezioni 676 $a707.5$v21$zita 700 1$aLehmann,$bHenri$0216460 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005609950403321 952 $a707.5 OEI 5$bST.ARTE 4664$fFLFBC 959 $aFLFBC 996 $aCèramiques prècolombiennes$9603797 997 $aUNINA LEADER 04859nam 22006495 450 001 9910300139703321 005 20251116203530.0 010 $a3-319-91648-3 024 7 $a10.1007/978-3-319-91648-4 035 $a(CKB)4100000006674926 035 $a(MiAaPQ)EBC5520326 035 $a(DE-He213)978-3-319-91648-4 035 $z(PPN)258855126 035 $a(PPN)230539610 035 $a(EXLCZ)994100000006674926 100 $a20180919d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiple Criteria Decision Aid $eMethods, Examples and Python Implementations /$fby Jason Papathanasiou, Nikolaos Ploskas 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (182 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v136 311 08$a3-319-91646-7 327 $a1. TOPSIS -- 2. VIKOR -- 3. PROMETHEE -- 4. SIR -- 5. AHP -- 6. Goal Programming.? Appendix. 330 $aMultiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France). 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v136 606 $aOperations research 606 $aManagement science 606 $aSoftware engineering 606 $aComputer software 606 $aComputer science?Mathematics 606 $aOperations Research, Management Science 606 $aOperations Research and Decision Theory 606 $aSoftware Engineering 606 $aMathematical Software 606 $aMathematical Applications in Computer Science 615 0$aOperations research. 615 0$aManagement science. 615 0$aSoftware engineering. 615 0$aComputer software. 615 0$aComputer science?Mathematics. 615 14$aOperations Research, Management Science . 615 24$aOperations Research and Decision Theory. 615 24$aSoftware Engineering. 615 24$aMathematical Software. 615 24$aMathematical Applications in Computer Science. 676 $a005.133 700 $aPapathanasiou$b Jason$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767853 702 $aPloskas$b Nikolaos$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300139703321 996 $aMultiple Criteria Decision Aid$91923102 997 $aUNINA