Selection procedure and multicriterial selection of small and bigger lorries
V. Drobný,
M. Kavka and
V. Tlustý
Additional contact information
V. Drobný: Norske Skog a.s., Štětí, Česká Republika
M. Kavka: Faculty of Engineering, Czech University of Life Sciences in Prague, Prague, Czech Republic
V. Tlustý: Chamber of Deputies, Parliament of the Czech Republic, Prague, Czech Republic
Research in Agricultural Engineering, 2007, vol. 53, issue 4, 166-171
Abstract:
The developed car market makes demands on the potential user in the Czech Republic in view of the selection, purchase and operation. More vehicles appear on the market and it is far more complicated to make a good choice. There are plenty of methods and ways to simplify or improve the selection procedure. The article presented solves a multicriterial selection issue based on the results of a survey of small and bigger lorries. The main method of multi-criteria selection was PATTERN (Planning Assistance Trough Technical Evaluation of Relevant Numbers) suitable for the comparison of non-homogeneous criteria targeting a row of significance of each variant.
Keywords: multicriterial evaluation; change trend; weight of significance; selection procedure; index of change; comparison (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://rae.agriculturejournals.cz/doi/10.17221/1962-RAE.html (text/html)
http://rae.agriculturejournals.cz/doi/10.17221/1962-RAE.pdf (application/pdf)
free of charge
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlrae:v:53:y:2007:i:4:id:1962-rae
DOI: 10.17221/1962-RAE
Access Statistics for this article
Research in Agricultural Engineering is currently edited by Bc. Michaela Polcarová
More articles in Research in Agricultural Engineering from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().