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dc.creatorMiodragović, Rajko
dc.creatorTanasijević, Milos
dc.creatorMileusnić, Zoran
dc.creatorJovancić, Predrag
dc.date.accessioned2020-12-17T20:33:50Z
dc.date.available2020-12-17T20:33:50Z
dc.date.issued2012
dc.identifier.issn0957-4174
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/3027
dc.description.abstractThe 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.en
dc.publisherPergamon-Elsevier Science Ltd, Oxford
dc.rightsrestrictedAccess
dc.sourceExpert Systems with Applications
dc.subjectAgricultural machineryen
dc.subjectEffectivenessen
dc.subjectFuzzy seten
dc.subjectMax-min compositionen
dc.titleEffectiveness assessment of agricultural machinery based on fuzzy sets theoryen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage8946
dc.citation.issue10
dc.citation.other39(10): 8940-8946
dc.citation.rankM21
dc.citation.spage8940
dc.citation.volume39
dc.identifier.doi10.1016/j.eswa.2012.02.013
dc.identifier.rcubconv_4893
dc.identifier.scopus2-s2.0-84859217089
dc.identifier.wos000303281800046
dc.type.versionpublishedVersion


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