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Adis Puška

Government of the Brčko District of Bosnia and Herzegovina

Društvene mreže:

Darko Božanić, Merita Borota, Anđelka Štilić, Adis Puška, A. Milic

This paper presents a hybrid multicriteria decision-making (MCDM) model that integrates the fuzzy DIBR II (Defining Interrelationships Between Ranked Criteria II) method with the MABAC (Multi-Attributive Border Approximation Area Comparison). The proposed model addresses the problem of selecting an appropriate flood protection method for Arilje, Republic of Serbia. Flooding in this region results from the overflow of the Veliki Rzav river, which lacks constructed water structures for flood protection. The study considers three alternative flood protection solutions: sand-filled bags, mobile freestanding plastic systems, and mobile freestanding metal systems. The fuzzy DIBR II method was used to define the weighting coefficients of the criteria within a group decision-making framework. Next, the MABAC method was applied to rank the proposed alternatives. Finally, the results were validated through sensitivity analysis and comparative analysis. The validation confirmed that the developed hybrid model produces stable and reliable results.

Adis Puška, Miroslav Nedeljković, Andjelka Stilic, Darko Božanić

Smart technologies are increasingly used in agriculture, with drones becoming one of the key tools in agricultural production. This study aims to evaluate affordable drones for agricultural use in the Posavina region, located in northern Bosnia and Herzegovina. To determine which drones deliver the best results for small and medium-sized farms, ten criteria were used to evaluate eight drones. Through expert evaluation, relevant criteria were first established and then used to assess the drones. The selected drones are designed for crop monitoring and are priced under EUR 2000. Using the fuzzy A-SWARA (Adapted Step-wise Weight Assessment Ratio Analysis) method, it was determined that the most important criteria for drone selection are control precision, flight autonomy, and ease of use, all of which are technical attributes. The fuzzy MARCOS method revealed that the best-performing drones are also the most affordable. The drones D5, D4, and D8 demonstrated the best results. These findings were confirmed through comparative analysis and sensitivity analysis. Their features are not significantly different from those of more expensive models and can, therefore, be effectively used for smart agriculture. This study demonstrates that drones can be a valuable tool for small farms, helping to enhance agricultural practices and productivity.

Ibrahim Krayem A. El-Jaberi, Ilija Stojanović, Adis Puška, Nikolina Ljepava, Radivoj Prodanović

More and more investments are being made in energy conversion projects from renewable energy sources (RESs), and a large number of investors are entering this sector. The focus of this study is the decision-making by the investor BD Green Energy in the Brčko District of Bosnia and Herzegovina. In order to choose the RES system that would realize this investment in the most efficient way, expert decision-making based on the fuzzy–rough approach and the Bonferroni mean operator was used. Determining the importance of the criteria was conducted using the fuzzy–rough SiWeC (simple weight calculation) method. The results of this method showed that all used criteria have similar importance for the investor. RES system selection was conducted using the fuzzy–rough CoCoSo (combined compromise solution) method. The results of this method showed that investing in photovoltaic (PV) energy is the best for the investor. This research provided guidance on how investors should make investment decisions in RES systems with incomplete information and uncertainty in the decision-making process.

M. Jeločnik, Adis Puška, Miroslav Nedeljković, Darko Božanić, Jonel Subić

Energy production, supply and consumption are global issue with many economic, environmental and social implications. Mentioned issue is even more expressed in remote rural areas, in particular in developing countries, as are the countries of the Western Balkans (WB). Renewable energy sources (RES) could represent optimal energy alternative for sustainable performing of agricultural and other activities, as well as for improving the current state of living conditions in rural communities. The main goal of research is to mark the most suitable RES alternative (six alternatives) for wider implementation in rural space of WB. The applied methodology framework implies experts’ opinion (engagement of eight experts) and the use of multi-criteria decision-making methods (MCDM), (specifically fuzzy-rough LMWA and fuzzy-rough CRADIS methods) under the predefined criteria (nine criteria). Derived results show that the implementation of the solar energy plants could play an optimal solution, while as the relatively unsuitable alternative could be marked the use of energy potential of watercourses. Gained final result, i.e. ranking order of the considered alternatives is additionally verified by the appliance of other MCDM methods, while the sensitivity analysis was also performed.

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