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[null,"1.","Record Nr.",null,"UNINA990009622390403321"]
[null,null,"Autore",null,"Vasapollo, Luciano <1955- >"]
[null,null,"Titolo",null,"Che Guevara economista : attualità del dibattito sulla transizione tra Cuba e Urss : con inediti del Che / Luciano Vasapollo, Efrain Echevarrìa H., Alfredo Jam M."]
[null,null,"Pubbl/distr/stampa",null,"Milano : Jaca book, 2007"]
[null,null,"ISBN",null,"978-88-16-40799-2"]
[null,null,"Descrizione fisica",null,"252 p. ; 23 cm"]
[null,null,"Collana",null,"Di fronte e attraverso ; 799"]
[{"$nulls":4},"Saggi sul capitalismo ; 15"]
[null,null,"Disciplina",null,"327.7291047"]
[null,null,"Locazione",null,"FSPBC"]
[null,null,"Collocazione",null,"Collez. 122 (799)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910300139703321"]
[null,null,"Autore",null,"Papathanasiou Jason"]
[null,null,"Titolo",null,"Multiple Criteria Decision Aid : Methods, Examples and Python Implementations / / by Jason Papathanasiou, Nikolaos Ploskas"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"3-319-91648-3"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (182 pages)"]
[null,null,"Collana",null,"Springer Optimization and Its Applications, , 1931-6836 ; ; 136"]
[null,null,"Disciplina",null,"005.133"]
[null,null,"Soggetti",null,"Operations research"]
[{"$nulls":4},"Management science"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Computer software"]
[{"$nulls":4},"Computer science—Mathematics"]
[{"$nulls":4},"Operations Research, Management Science"]
[{"$nulls":4},"Operations Research and Decision Theory"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Mathematical Software"]
[{"$nulls":4},"Mathematical Applications in Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. TOPSIS -- 2. VIKOR -- 3. PROMETHEE -- 4. SIR -- 5. AHP -- 6. Goal Programming.– Appendix."]
[null,null,null,"Sommario/riassunto","Multiple 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 "]
[{"$nulls":4},"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)."]