Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) (Vector Optimization) - Tapa dura
Sinopsis
A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author's own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.
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Acerca del autor
Kesra Nermend is Professor and Head of the Department of Decision Support Methods and Cognitive Neuroscience; and President of the Centre for Knowledge and Technology Transfer at the Institute of Management, University of Szczecin (Szczecin, Poland). His scientific interests are related to the use of quantitative methods and IT tools in the analysis of socio-economic processes, with particular emphasis on multi-criteria methods, multidimensional data analysis, cognitive neuroscience techniques in researching social behavior and modeling consumer preference in the process of making business decisions. He has published over 130 publications in Polish and English languages including 20 monographs.
De la contraportada
A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author’s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.
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Multi-Criteria and Multi-Dimensional Analysis in Decisions: Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) (Vector Optimization)
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Multi-Criteria and Multi-Dimensional Analysis in Decisions (Hardcover)
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Springer International Publishing AG, Cham, 2023
ISBN 10: 3031405374
ISBN 13: 9783031405372
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Hardcover. Condición: new. Hardcover. A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the authors own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management. A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783031405372
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Multi-criteria and Multi-dimensional Analysis in Decisions: Decision Making With Preference Vector Methods (Pvm) and Vector Measure Construction Methods (Vmcm)
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Multi-Criteria and Multi-Dimensional Analysis in Decisions
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Springer Nature Switzerland, Springer International Publishing Nov 2023, 2023
ISBN 10: 3031405374
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author's own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management. 372 pp. Englisch. Nº de ref. del artículo: 9783031405372
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Multi-Criteria and Multi-Dimensional Analysis in Decisions
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Springer Nature Switzerland, 2023
ISBN 10: 3031405374
ISBN 13: 9783031405372
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Librería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features real-life examples from economics and managementPresents similarities between MCA and MCDA methods in decision makingPresents character criteria methods for decision makingKesra Nermend is Professor and Head of the Depar. Nº de ref. del artículo: 913666056
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Multi-Criteria and Multi-Dimensional Analysis in D
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Multi-Criteria and Multi-Dimensional Analysis in Decisions | Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM)
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Buch. Condición: Neu. Multi-Criteria and Multi-Dimensional Analysis in Decisions | Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM) | Kesra Nermend | Buch | xvi | Englisch | 2023 | Springer | EAN 9783031405372 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 127224146
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Multi-Criteria and Multi-Dimensional Analysis in Decisions
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Springer Nature Switzerland, Springer Nature Switzerland Nov 2023, 2023
ISBN 10: 3031405374
ISBN 13: 9783031405372
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author¿s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Nº de ref. del artículo: 9783031405372
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Multi-Criteria and Multi-Dimensional Analysis in Decisions : Decision Making with Preference Vector Methods (PVM) and Vector Measure Construction Methods (VMCM)
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Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 3031405374
ISBN 13: 9783031405372
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - A new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author's own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management. Nº de ref. del artículo: 9783031405372
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Multi-Criteria and Multi-Dimensional Analysis in D
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