A computer system supporting agricultural machinery and farm tractor purchase decisions.
作者： Karol Durczak , Adam Ekielski , Radosław Kozłowski , Tomasz Żelaziński , Krzysztof Pilarski
DOI: 10.1016/J.HELIYON.2020.E05039
关键词:
摘要: Operational research, i.e. searching for optimal solutions in a situation of uncertainty and risk, can also be used to support decisions purchase expensive agricultural machinery. Although Polish farmers receive subsidies from the EU, it does not mean they do need make well-thought-out purchases, because wrong will have long-term consequences while using The article presents results IFOP - system which has been available on Internet several years. It collects data farming machinery vehicles based users' voluntary but subjective opinions. authors this developed an original multi-criteria method evaluating quality these specific products, enabled them relevant rankings brands. is algorithmic-heuristic method, uses pairwise comparison tools determine significance ratios criteria. This 1st 2nd edition (Race Ranking), included dozen brands tractors registered Poland. More than fifty qualitative (Q) non-qualitative (C) traits farm were taken into account. According farmers, Valtra Finnish brand tractors, part AGCO concern, was most versatile (Q = 4.39 Q&C 4.23). These received best opinions their functionality, durability, ergonomics safety.
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