@article{1482900,
      author = {Nermend, Kesra,},
      url = {http://library.usi.edu/record/1482900},
      title = {Multi-criteria and multi-dimensional analysis in decisions  : decision making with Preference Vector Methods (PVM) and  Vector Measure Construction Methods (VMCM) /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-031-40538-9},
      recid = {1482900},
      pages = {1 online resource (xvi, 354 pages) :},
}