A Decision Support Method for Choosing an Agricultural Machinery Service Workshop Based on Fuzzy Logic

被引：10

作者：

Osuch, Andrzej ^{[1
]}

Osuch, Ewa ^{[1
]}

Rybacki, Piotr ^{[1
]}

Przygodzinski, Przemyslaw ^{[1
]}

Kozlowski, Radoslaw ^{[1
]}

Przybylak, Andrzej ^{[1
]}

机构：

[1] Poznan Univ Life Sci, Inst Biosyst Engn, Wojska Polskiego 50, PL-60637 Poznan, Poland

来源：

AGRICULTURE-BASEL | 2020年 / 10卷 / 03期

关键词：

technical service; decision support; fuzzy sets; WEAR DEBRIS CONCENTRATION; MANAGEMENT; WASTE; FLEET; OILS;

D O I：

10.3390/agriculture10030076

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

The quality of technical services is one of the main criteria for assessing the service processes of agricultural machinery, and it has a significant impact on the decision-making process when choosing a service provider. Technical service quality has a significant role in maintaining agricultural machinery in optimal technical condition, thus ensuring its high reliability and durability. The purpose of this study is to present a decision support method for choosing the right agricultural machinery service facility. The method is based on fuzzy inference. The choice of service workshop is based on decision criteria individually accepted by farmers (experts). The method was checked by way of research carried out among 25 farmers facing the choice of a service facility. The decision-making process allows for ranking the decision criteria and decision-makers. The results of the presented research can be used by farm owners and service companies to plan their development directions.

引用

页数：11

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