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Using the PVM-VSI (Preference Vector Method - Vector Space of Increments) method in supporting the decision related to the purchase of an electric family car.
- Source :
- Procedia Computer Science; 2021, Vol. 192, p2199-2209, 11p
- Publication Year :
- 2021
-
Abstract
- The article presents the possibility of using the PVM-VSI (Preference Vector Method - Vector Space of Increments) method in supporting the decision problem process, in which we choose one of several decision variants. However, these variants are assessed according to various criteria. Therefore, we need to have knowledge about the options under consideration. This knowledge is not always quantified. It is also important that the assessment of variants of the decision problem under consideration is independent of the preferences and opinions of the decision-maker, i.e. relatively objective. The article uses the PVM-VSI method [1] to support decisions related to the choice of an electric family car. The ranking is intended to indicate which car meets the usability requirements best defined by the decision maker, while meeting its visual preferences both in terms of appearance and interior. [ABSTRACT FROM AUTHOR]
- Subjects :
- VECTOR spaces
ELECTRIC automobiles
STATISTICAL decision making
DECISION making
Subjects
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 192
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 152766812
- Full Text :
- https://doi.org/10.1016/j.procs.2021.08.233