Adis Puška
57190305007
Publications - 8
Evaluation of Mobile Applications for Small Farms Using Fuzzy Methods
Publication Name: International Journal of Research in Industrial Engineering
Publication Date: 2025-09-01
Volume: 14
Issue: 3
Page Range: 426-444
Description:
This paper offers a practical model to help farmers choose the most suitable mobile application for their specific needs, improving decision-making processes in adopting agricultural technology. Given the wide range of applications available on the market, the need to select the one that best improves agricultural production motivated the research in this paper. To simplify the decision-making process for farmers, a methodology that applied the fuzzy approach was developed. Based on this, this research aimed to evaluate and identify mobile applications most suitable for the Farmino farm using a Multi-Criteria Decision-Making (MCDM) approach. A decision-making model that includes ten criteria and several mobile applications was applied. Farm employees, who are the intended users of these applications, evaluated the criteria and applications using linguistic terms. The methods of fuzzy Simple Weight Calculation (SiWeC) and fuzzy Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) were used to determine the weight of the criteria. These methods revealed that the criterion "Data accuracy" was more important than the others, while the importance of the other criteria was less. Finally, the fuzzy method Multi-Attributive Border Approximation Area Comparison (MABAC) was used to rank mobile applications, and the results showed that the A4 mobile application ranked highest, making it the best choice for Farmino farm.
Open Access: Yes
Economic and Technical Assessment of the Chinese Plum Varieties Using Multi-Criteria Analysis Methods
Publication Name: Agricultural Research
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Globally, plums are among the most grown and consumed fruit species. Considering China as the leader in plum production, there are intentions to introduce the usually grown plum varieties in China into the area of Western Balkan (WB). It is expected that this action will trigger knowledge and technological transfer, as well as improvement in reached profitability. The suitability of available seven plum varieties (Superior, Skoroplodnaya, Eagle Dream, Sissy, Manchu Beauty, Golden ball and Red ball) to production and market conditions of Western Balkan are analysed by experts’ assessment of offered alternatives according to predefined sets of (sub)criteria (economic and technological). In line with the main goal of the research support in the decision-making process, i.e. ranking the observed plum varieties is done according to the selected multi-criteria method, in this case, fuzzy DNARAS multi-criteria decision-making method (Double Normalization Fuzzy Additive Ratio Assessment). Previous assessments of observed plum varieties towards the predefined sets of criteria are done by engaged national experts focused on fruit growing. Derived research results show that the plum variety Sissy could perfectly fit the WBs fruit production sector, while the variety Superior possess the lowest growing potential among the assessed plum varieties. Research originality lies in the fact that assessment and ranking of selected plum varieties have been done with the fuzzy DNARAS multi-criteria decision-making method, a method that shows a higher level of stability compared to other similar methods. Performing the quasi-experiment under the expert’s opinions and suggesting the plum varieties that could correspond to adequate growing alternatives simultaneously represents the initial stage in multi-year field experiments linked to the introduction of marked varieties into the WBs.
Open Access: Yes
Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products
Publication Name: Methodsx
Publication Date: 2024-12-01
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
In this research is presented a new method for determining the weights of criteria called simple weight calculation (SIWEC) method. The steps of this method are presented in the practical example of determining the importance of criteria for the needs of sales of agricultural products in the Semberija region. During the presentation of this method two methods are elaborated the simple SIWEC method which includes numerical ratings and the fuzzy SIWEC method which includes ratings in the form of linguistic value. In the selected example is presented how to use this method in order to determine the importance of criteria and in both cases the criterion of sales reliability is given the greatest weight. The contribution SIWEC method is reflected in its simplicity, which facilitates decision-making. • The method presented in this research apart from others is that it uses the evaluation of the criteria by decision makers, so the criteria should not be ranked and compared, but simply evaluated. • Unlike similar methods, the presented method uses the adjusted steps of the method for ranking the alternatives, and decision makers are given a different importance in the decision-making.
Open Access: Yes
SELECTION OF AGRICULTURAL PRODUCT SALES CHANNELS USING FUZZY DOUBLE MEREC AND FUZZY RAWEC METHOD
Publication Name: Agriculture and Forestry
Publication Date: 2024-09-30
Volume: 70
Issue: 3
Page Range: 45-58
Description:
When selling food products, it's important to choose the appropriate sales channel. These channels connect producers with consumers. The aim of this study was to select a channel for the sale of cabbage to end customers. In this paper, six different sales channels that are used in the Semberija region for the sale of cabbage were observed. These sales channels were evaluated using 11 different criteria. In order to choose the sales channel that best meets the set objectives, a fuzzy set approach was used. This approach was chosen because qualitative criteria were used and expert ratings were in the form of linguistic values. Based on the input of seven experts who are professors at agricultural faculties in Bijeljina, it was found that consumer habits were the most important criterion, followed by the criterion compliance with environmental standards, while the smallest weight value was given to the criterion delivery method. Using the RAWEC (Ranking of Alternatives with Weights of Criterion) method, it was shown that online sales yield the best results, after that follows Producer-sales agent-consumer, while according to experts, the sales channel is the best rated Producer-wholesaler-retailer-consumer. This is because various tools can be utilized on the Internet for selling agricultural products. Based on the conducted research, the contribution of this study lies in the selection of sales channels using the integration of the MEREC and RAWEC methods.
Open Access: Yes
The impact of the application of artificial intelligence preparedness on sustainable development goals: An empirical analysis
Publication Name: Multidisciplinary Science Journal
Publication Date: 2025-05-01
Volume: 8
Issue: 5
Page Range: Unknown
Description:
Artificial Intelligence (AI) is rapidly transforming economies and societies around the world. As AI is increasingly being invested in, some countries are developing specific strategies for AI development. These countries are striving to improve their competitiveness and achieve greater economic growth by becoming leaders in AI. In addition to AI development, countries are striving to achieve the Sustainable Development Goals (SDGs). In achieving these goals, countries are concerned about protecting the environment and preserving the resources they have for future generations. This paper examines the impact of AI adoption on sustainable development, with a focus on progress toward the United Nations SDGs. Therefore, this paper analyzed how the willingness of countries to use AI affects the achievement of sustainable development in those countries. Accordingly, the AI Preparedness Index and Sustainable Development Goals indicators were used for 158 countries in the world. The relationship between these variables was examined using multiple regression analysis. The results of the multiple regression analysis show that the willingness of countries to apply AI affects the realization of the SDGs of those countries. However, not all dimensions of readiness for the application of AI have an impact on the goals of sustainable development. It has been shown that the dimensions of digital infrastructure and human capital and labor market policies have the greatest influence on the SDGs. Based on this; countries must strengthen these two dimensions regarding the application of AI in order to realize the SDGs. By strengthening the potential for AI development, these countries are improving sustainability through achieving the SDGs.
Open Access: Yes
Assessment of ecotourism potential in rural settlements in the function of rural development
Publication Name: Cogent Social Sciences
Publication Date: 2025-01-01
Volume: 11
Issue: 1
Page Range: Unknown
Description:
To preserve resources for future generations and promote rural development, supporting ecotourism is essential. This paper provides guidelines for developing ecotourism, highlighting its role in environmental conservation. While mass tourism benefits rural communities, it can cause significant environmental harm. Therefore, this research promotes ecotourism as a sustainable alternative. In rural areas, ecotourism supports development by responsibly using natural resources. The study focuses on the potential of rural settlements in the Semberija region of Bosnia and Herzegovina, assessing their capacity for ecotourism to aid local development. A decision model was developed, considering four main criteria - natural, infrastructure, socio-cultural, and economic - and their sub-criteria. This model evaluates six rural communities’ ecotourism potential. To determine the importance of each criterion, a fuzzy weighting method with the Bonferroni mean operator was used, revealing economic factors as the most influential. The fuzzy ranking method then ranked the settlements, with Amajlije identified as having the highest ecotourism potential. The findings suggest that promoting ecotourism in Amajlije and similar communities can support sustainable rural development, balancing environmental preservation with economic growth.
Open Access: Yes
Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach
Publication Name: Contemporary Mathematics Singapore
Publication Date: 2025-01-01
Volume: 6
Issue: 6
Page Range: 7899-7924
Description:
This research presents a novel approach to supplier selection by integrating economic, environmental, and ethical criteria. The case study of Company 3B, a food production company, illustrates this process. Expert decisionmaking, using a fuzzy-rough approach, is supported by the fuzzy-rough Logarithm Methodology of Additive Weights (LMAW) and the fuzzy-rough modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods. The fuzzy-rough LMAW method helps determine the importance of criteria, revealing that experts consider the economic criterion the most significant. The Modified MARCOS (M-MARCOS), a simplified version of the MARCOS method, is used to rank suppliers. Results show that Supplier S3 performs the best. These findings are validated through comparisons with other fuzzy-rough methods and a sensitivity analysis. With the MARCOS method comparisons confirming a consistent ranking order, this paper advances supplier selection methodology by introducing a novel approach and improving the usability of the MARCOS method through modifications.
Open Access: Yes
Strategic selection of electric vehicles in the context of smart city development in Albania using the fuzzy MCDM methods
Publication Name: Clean Energy Science and Technology
Publication Date: 2026-01-01
Volume: 4
Issue: 1
Page Range: Unknown
Description:
The automotive industry is undergoing a significant transformation towards electric vehicles (EVs) with the main goal of reducing greenhouse gas emissions and for a sustainable and green environment. Different types of EVs are introduced every day in the market where selecting an optimal vehicle for purchase constitutes a complex decision-making. Therefore, the purpose of this research was to evaluate EVs in Albania using multi-criteria decision-making methods (MCDM). A total of 12 vehicles were analyzed based on 4 main criteria and 12 sub-criteria. The fuzzy Logarithm Methodology of Additive Weights (LMAW) method was applied to find the weights of the main criteria while the fuzzy Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) method was applied to find the weights of the sub-criteria. For the EV ranking, the fuzzy Ranking of Alternatives with Weights of Criterion (RAWEC) method was applied. The findings showed that the most important criteria are the technical criteria and the Auto 11 vehicle showed the best results. The combination of Fuzzy LMAW-Fuzzy LOPCOW-Fuzzy RAWEC methods also constitutes the novelty of this research, which has not been applied before in this field. The contribution of this research consists in providing a comprehensive set of selection criteria to choose the best alternative of the EV fleet in Albania. Furthermore, the contribution of this research was the application of a hybrid methodology in the evaluation and selection of an electric vehicle as an ongoing choice faced by vehicle buyers.
Open Access: Yes
DOI: 10.18686/cest548
