Прегледај по Аутор "Marinkovic, Dragan"

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    Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model
    (PLOS, 2021) Nedeljković, Miroslav; Puška, Adis; Doljanica, Suzana; Virijević Jovanović, Saša; Brzaković, Pavle; Stević, Željko; Marinkovic, Dragan
    Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi- criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.
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    Selection of EVs as Tourist and Logistic Means of Transportation in Bosnia and Herzegovina’s Nature Protected Areas Using Z-Number and Rough Set Modeling
    (Hindawi, 2023) Puška, Adis; Štilić, Anđelka; Božanić, Darko; Ðurić, Aleksandar; Marinkovic, Dragan
    This research focuses on the use of electric vehicles (EVs) to transport visitors and cargo within Bosnia and Herzegovina’s Kozara National Park. Reduced air pollution and the preservation of natural resources are required to help protect this aerial spa. Together with the expert employees of this NP, the EV that would best suit their needs was chosen. &e process of decision-making combines subjective and objective methods. Employees 8rst chose the criteria and alternatives and then weighed their importance. On that occasion, Z-numbers were used to include uncertainty in the decision, because it is not always possible to make decisions with complete certainty. Furthermore, the weight of these criteria was determined using the fuzzy PIPRECIA (PIvot Pairwise Relative Criteria Importance Assessment) method. Range (C1) became the most important criterion, followed by vehicle cost (C2), and the technical speci8cations of these EVs were used to compare them. Because these speci8cations vary, a rough set was used in which the minimum and maximum EV characteristics were taken based on speci8c criteria. To rank the alternatives, the RCRADIS (Rough Compromise Ranking of Alternatives with Distance to Ideal Solution) method was used. According to the research results, the Mercedes eVito Tourer 90kWh is the highest ranked EV and the validation of the results con8rmed these 8ndings. According to the research results, the Mercedes eVito Tourer 90kWh is the highest ranked EV and the validation of the results con8rmed these 8ndings. &e sensitivity analysis revealed that if criterion C1 is not as important, the other EVs are ranked higher. &is research`s methodology has demonstrated Aexibility, therefore it is recommended for use in similar research.