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395,69 €
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Multi-Criteria and Multi-Dimensional Analysis in Decisions
Multi-Criteria and Multi-Dimensional Analysis in Decisions
356,12
395,69 €
  • We will send in 10–14 business days.
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-criteri…
395.69
  • Publisher:
  • ISBN-10: 3031405374
  • ISBN-13: 9783031405372
  • Format: 15.6 x 23.4 x 2.2 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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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  • Author: Kesra Nermend
  • Publisher:
  • ISBN-10: 3031405374
  • ISBN-13: 9783031405372
  • Format: 15.6 x 23.4 x 2.2 cm, kieti viršeliai
  • Language: English English

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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