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Effectiveness assessment of agricultural machinery based on fuzzy sets theory

Samo za registrovane korisnike
2012
Autori
Miodragović, Rajko
Tanasijević, Milos
Mileusnić, Zoran
Jovancić, Predrag
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
The quality of service of agricultural machinery represents one of the basic factors for successful agricultural production. In this sense, there is a clear need for defining the exact indicator of the quality of these machines, according to which it could be possible to determine which machine is optimal for different working conditions. The concept of effectiveness represents one of synthesis indicators of the quality of service of the technical systems. In this paper the effectiveness is defined using the fuzzy set theory, and reliability, maintainability and functionality are used as influence indicators of the effectiveness. In that sense the model for assessing the effectiveness of tractor as a typical representative of agro machinery has been formed. The model is based on integration of linguistic description of the above mentioned influence indicators using fuzzy set theory and max-min composition. The model was tested on the example of three tractors of the same category, whic...h are exploited in climatic and soil conditions in the wider Belgrade (Serbia) area. Even if the conditions in this experiment were approximately equal, the difference of the achieved effects was attained and very significant, compared to other operation parameters.

Ključne reči:
Agricultural machinery / Effectiveness / Fuzzy set / Max-min composition
Izvor:
Expert Systems with Applications, 2012, 39, 10, 8940-8946
Izdavač:
  • Pergamon-Elsevier Science Ltd, Oxford

DOI: 10.1016/j.eswa.2012.02.013

ISSN: 0957-4174

WoS: 000303281800046

Scopus: 2-s2.0-84859217089
[ Google Scholar ]
29
17
URI
http://aspace.agrif.bg.ac.rs/handle/123456789/3027
Kolekcije
  • Radovi istraživača / Researchers’ publications
Institucija/grupa
Poljoprivredni fakultet
TY  - JOUR
AU  - Miodragović, Rajko
AU  - Tanasijević, Milos
AU  - Mileusnić, Zoran
AU  - Jovancić, Predrag
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3027
AB  - The quality of service of agricultural machinery represents one of the basic factors for successful agricultural production. In this sense, there is a clear need for defining the exact indicator of the quality of these machines, according to which it could be possible to determine which machine is optimal for different working conditions. The concept of effectiveness represents one of synthesis indicators of the quality of service of the technical systems. In this paper the effectiveness is defined using the fuzzy set theory, and reliability, maintainability and functionality are used as influence indicators of the effectiveness. In that sense the model for assessing the effectiveness of tractor as a typical representative of agro machinery has been formed. The model is based on integration of linguistic description of the above mentioned influence indicators using fuzzy set theory and max-min composition. The model was tested on the example of three tractors of the same category, which are exploited in climatic and soil conditions in the wider Belgrade (Serbia) area. Even if the conditions in this experiment were approximately equal, the difference of the achieved effects was attained and very significant, compared to other operation parameters.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Expert Systems with Applications
T1  - Effectiveness assessment of agricultural machinery based on fuzzy sets theory
EP  - 8946
IS  - 10
SP  - 8940
VL  - 39
DO  - 10.1016/j.eswa.2012.02.013
ER  - 
@article{
author = "Miodragović, Rajko and Tanasijević, Milos and Mileusnić, Zoran and Jovancić, Predrag",
year = "2012",
abstract = "The quality of service of agricultural machinery represents one of the basic factors for successful agricultural production. In this sense, there is a clear need for defining the exact indicator of the quality of these machines, according to which it could be possible to determine which machine is optimal for different working conditions. The concept of effectiveness represents one of synthesis indicators of the quality of service of the technical systems. In this paper the effectiveness is defined using the fuzzy set theory, and reliability, maintainability and functionality are used as influence indicators of the effectiveness. In that sense the model for assessing the effectiveness of tractor as a typical representative of agro machinery has been formed. The model is based on integration of linguistic description of the above mentioned influence indicators using fuzzy set theory and max-min composition. The model was tested on the example of three tractors of the same category, which are exploited in climatic and soil conditions in the wider Belgrade (Serbia) area. Even if the conditions in this experiment were approximately equal, the difference of the achieved effects was attained and very significant, compared to other operation parameters.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Expert Systems with Applications",
title = "Effectiveness assessment of agricultural machinery based on fuzzy sets theory",
pages = "8946-8940",
number = "10",
volume = "39",
doi = "10.1016/j.eswa.2012.02.013"
}
Miodragović, R., Tanasijević, M., Mileusnić, Z.,& Jovancić, P.. (2012). Effectiveness assessment of agricultural machinery based on fuzzy sets theory. in Expert Systems with Applications
Pergamon-Elsevier Science Ltd, Oxford., 39(10), 8940-8946.
https://doi.org/10.1016/j.eswa.2012.02.013
Miodragović R, Tanasijević M, Mileusnić Z, Jovancić P. Effectiveness assessment of agricultural machinery based on fuzzy sets theory. in Expert Systems with Applications. 2012;39(10):8940-8946.
doi:10.1016/j.eswa.2012.02.013 .
Miodragović, Rajko, Tanasijević, Milos, Mileusnić, Zoran, Jovancić, Predrag, "Effectiveness assessment of agricultural machinery based on fuzzy sets theory" in Expert Systems with Applications, 39, no. 10 (2012):8940-8946,
https://doi.org/10.1016/j.eswa.2012.02.013 . .

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