Darko Božanić

56026267800

Publications - 6

Evaluation of Mobile Applications for Small Farms Using Fuzzy Methods

Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

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

DOI: 10.22105/riej.2025.491961.1503

Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products

Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Vladimir Simic

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

DOI: 10.1016/j.mex.2024.102930

Application of the FUCOM-FUZZY MAIRCA Model in Human Resource Management

Boris Delibašić Dragan Pamucar Darko Božanić Boglárka Eisingerné Balassa Duško Tešić Ranko Lojić

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 3

Page Range: 231-249

Description:

The paper presents the FUCOM-FMAIRCA MCDM model for application in human resource management. The proposed model allows the inclusion of all relevant stakeholders in the process of human resource selection, enhances the pool of scientific knowledge in the field of human resource management highlighting selection as a special activity, and uses modern quantitative (mathematical) decision-making methods. Based on the analysis of personality traits of teachers and literature related to this field, the necessary characteristics of teachers of the Military Academy are presented, on the basis of which the selection criteria are formed. The FUCOM method was used to define the weight coefficients of the defined criteria. In order to more precisely determine the qualitative properties and their quantification, triangular fuzzy numbers were implemented in the MAIRCA method, and by applying all the steps of this method, the ranking of alternatives was performed. Finally, in order to test the validity of the model, a sensitivity analysis was carried out.

Open Access: Yes

DOI: 10.12700/APH.20.3.2023.3.14

Assessment of ecotourism potential in rural settlements in the function of rural development

Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

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

DOI: 10.1080/23311886.2025.2569756

Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach

Dragan Marinković Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

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

DOI: 10.37256/cm.6620257306

Strategic selection of electric vehicles in the context of smart city development in Albania using the fuzzy MCDM methods

Dragan Pamucar Darko Božanić Adis Puška Arianit Peci

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