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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.

Improving the conditions for the provision of tourist services is critical for the development of tourism. The World Economic Forum uses the Travel and Tourism Development Index (TTDI), calculated based on five main criteria and 17 sub-criteria, to assess these conditions and generate a ranking list of countries based on their favourable environment for conducting tourism-related activities. However, the TTDI only considers the average value of each country's criteria and sub-criteria scores without considering the significance of those criteria. This paper addresses this issue using a hybrid multi-criteria analysis, which combines the MARCOS (Measurement of Alternatives and Ranking According to Compromise Solution) and MEREC (MEthod based on the Removal Effects of Criteria) methods. The results of these methods show that the observed European countries' ranking order differs from the ranking order stated in TTDI. Spain is ranked first, Turkmenistan ranks last, and sensitivity analysis supports these findings. When ranking countries using the TTDI, the importance of the criteria must be considered to accurately reflect the conditions prevailing for tourism development in countries, which is highlighted by this research. This paper's contribution demonstrates that all criteria cannot be considered equally to form the TTDI, as the requirements cannot be equally important.

With the development of agricultural production, the demand for electricity correspondingly increases. To sustainably meet this demand, renewable energy sources (RESs) can be utilized. This paper explores the application of RES alternatives in agriculture to provide guidelines for enhancing sustainable agricultural practices in Bosnia and Herzegovina. The study employs expert decision making using fuzzy multi-criteria decision-making (MCDM) methods. A decision-making model incorporating nine criteria and six alternatives was developed. Using the direct weight calculation (DiWeC) approach, the findings indicate that economic criteria are prioritized over other sustainability criteria. The results from the fuzzy RAWEC (ranking of alternatives with weights of criteria) method reveal that solar energy has the greatest potential for advancing sustainable agricultural production in Bosnia and Herzegovina. For practical implementation of RES alternatives, active involvement from state institutions and local communities is essential.

This paper presents a multi-criteria decision-making model based on the application of two methods, DIBR II and MABAC. The DIBR II method was used to define weight coefficients. The MABAC method was used to rank alternatives, and it was applied in a rough environment. Four experts were engaged in defining the criteria and alternatives as well as in the relation of criteria. The model was applied for ranking the methods and techniques of Lean organization systems management in the maintenance of technical systems of special purposes. At the end of the application was conducted a sensitivity analysis which proved the stability of the obtained results.

Abstract The banking sector assumes a pivotal role in the economic development of nations. The assessment of financial indicators pertaining to banks holds fundamental importance in the evaluation of bank stability and sustainability. This research employs the MEREC (Method based on the Removal Effects of Criteria) and MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) methodologies to delve deeper into the financial landscape of the banking sector in Bosnia and Herzegovina (BiH). Specifically, the objective is to rank banks according to their financial indicators, utilizing financial data from the year 2022. The MEREC method is applied to gauge the significance of financial indicators and ascertain their respective weights, while the MARCOS method is employed to rank banks within BiH based on their financial indicators. The examination of financial indicators within the BiH banking sector, facilitated by the MEREC and MARCOS methodologies, yields a more comprehensive understanding of the sector’s present condition. Limitations of this research, which primarily stem from its reliance on available financial data and predefined methodologies, lies within limited consideration for external factors. To provide a broader contextual perspective, the inclusion of additional financial indicators and comparative analyses with banking sectors of other nations would be imperative. The findings of this research reveal that Raiffeisen Bank exhibits the most favourable financial indicators and demonstrates the highest level of efficiency within this context. Consequently, this research offers insights into identifying exemplary banks that can serve as models for enhancing the performance of others.

In this study, the selection of suppliers within an alternative food supply network for fruits and vegetables, specifically Box Schemes, was conducted using multi-criteria decision-making methods. The Entropy-MABAC method was used as the multi-criteria decision-making approach, and the research focused on five suppliers from the city of Novi Sad. Eleven socioeconomic criteria were chosen for the research to identify the most favourable supplier. The results indicate that the criterion "product character," i.e., whether the final agricultural product is organic or conventional, was rated the highest, and the first supplier was selected as the most favourable. These results provide a solid foundation for future research, which should focus on further examining the impact of supply methods on end consumers of agricultural products within the alternative food network and developing new methods to aid in selecting the most favourable supplier.

The process of deep sheet metal drawing is accepted in all industrial branches. This process is, therefore, very important to maintain a certain level of quality. For this reason, measurements and tests must be carried out to determine how much sheet metal deformation occurred after the deep drawing process. For this purpose, an experiment of deep drawing of sheet metal was carried out using the example of kitchen utensils. In addition, the Taguchi method was used in this experiment to test the quality of the obtained kitchenware. In the experiment, three factors were taken with three alternatives that affect the deep drawing of sheet metal, and 27 experiments were used for the Taguchi method. The results of this experiment showed that the best results were achieved by the smallest drawing depth of 65 mm and the worst results were obtained by the drawing thickness of 70 mm. Regarding the thickness of the material, the best results were achieved by the material of 21 mm, and the material of 15 mm achieved the worst results. In addition, an analysis of variance was carried out, which determined the relationship between force and deformation of the material.

Introduction/purpose: The paper presents the multi-criteria Fuzzy DIBR-Fuzzy DIBR II-EWAA-BM-DEXi-Fuzzy LMAW model for choosing a location for crossing water obstacles by fording in a defense operation. After the identification of the criteria by experts in this field, the mentioned model was applied and the optimal point was determined. In order to test the consistency of the results and the validity of the model, experts were consulted again, and the sensitivity analysis and the comparative analysis were performed. Methods: The Fuzzy DIBR and Fuzzy DIBR II methods were used to determine the weighting coefficients of the identified criteria, while the aggregation of the expert opinions and the obtained values was performed using the EWAA and BM operators. To select the optimal location, the Fuzzy LMAW method was applied, while the linguistic descriptors were determined using the DEXi decision support system. Results: The proposed methodology made it possible to identify all the criteria that determine the choice of a location and the choice of the optimal point for crossing a water obstacle in a defense operation. The testing of the model by experts, the analysis of the sensitivity of the output results to changes in the weights of the criteria and the comparison of the obtained results with the results of other methods indicated the fact that the model is valid and that it gives consistent results. Conclusion: It was concluded that the multi-criteria model provides the necessary help to decision makers in conditions of imprecise and unspecified information and that it is applicable in real situations. Also, the proposed model takes into consideration all the aspects that must be considered when making such a complex decision and helps less experienced officers in the decision-making process, reducing the possibility of errors, which can result in human casualties. Finally, directions for further research in the field of overcoming water obstacles and multicriteria decision making are suggested.