Прегледај по Аутор "Božanić, Darko"

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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.