Iskanje po katalogu digitalne knjižnice

Opis: The world economy and society are in a complex process of transition characterized by a high degree of uncertainty. Therefore, further development and management of the transition will largely depend on the quality of the decisions made and, accordingly, on the decision-making process itself. The main goal of this study is to analyze the reliability of International Energy Security Risk Index as a tool to support the process of energy and economy transition decision making, as closely related and highly interdependent phenomena. The index is composed of 29 aggregated variables (grouped into eight categories), and the research is conducted on a research sample of 25 countries over a period of 36 years. The reliability assessment is performed by using Multiple Regression Analysis. Multicollinearity test, plus Multicollinearity test with Variance Inflation Factors, is used for methodological verification. The test results indicate a high degree of unreliability of the Index, as is concluded based on the observed errors in its methodological settings. These errors primarily relate to a high degree of multicollinearity in all 29 variables, whereby independent variables lose their independence and thus jeopardize reliability of the total Index. Out of the eight groups of variables, the fuel imports group is the only one that does not show big methodological errors. The paper presents a recommendation for the improvement of the observed Index (review of the role of individual variables found to be particularly methodologically indicative), as well as a recommendation for different distribution of weighting coefficients.
Ključne besede: energy and economy transition, decision making, international energy security risk index, multiple regression analysis, multicollinearity test, multicollinearity test with variance inflation factors
Objavljeno v DKUM: 04.02.2025; Ogledov: 0; Prenosov: 6
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Opis: When companies make strategic decisions, responsible persons must take into account as many influential parameters as possible so that the solution to the given problem is the most optimal, that is, they make the most appropriate decision. Multi-criteria decision-making (MCDM) can find a very large application for solving such very complex and important issues, where it is of particular importance that the company makes the most appropriate decision. Making the optimal decision for a given problem directly affects the financial performance of a given company. In this paper, the VIKOR method will be applied, which until now has not been used to solve problems related to the choice of warehouse location, but is very often and very successfully used to solve various complex problems when applying multi-criteria decision making (MCDM). The purpose of this paper is to show that the VIKOR method can be successfully applied to select the optimal warehouse location for a company that has subsidiaries in multiple locations.
Ključne besede: selection, location, warehouse, multi-criteria decision making, VIKOR method
Objavljeno v DKUM: 17.12.2024; Ogledov: 0; Prenosov: 4
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Opis: Background: Sustainable energy transition of a country is complex and long-term process, which requires decision-making in all stages and at all levels, including a large number of different factors, with different causality. The main objective of this paper is the development of a probabilistic model for decision-making in sustainable energy transition in developing countries of SE Europe. The model will be developed according to the specificities of the countries for which it is intended—SE Europe. These are countries where energy transition is slower and more difficult due to many factors: high degree of uncertainty, low transparency, corruption, investment problems, insufficiently reliable data, lower level of economic development, high level of corruption and untrained human resources. All these factors are making decision-making more challenging and demanding. Methods: Research was done by using content analysis, artificial intelligence methods, software development method and testing. The model was developed by using MSBNx—Microsoft Research’s Bayesian Network Authoring and Evaluation Tool. Results: Due to the large number of insufficiently clear, but interdependent factors, the model is developed on the principle of probabilistic (Bayesian) networks of factors of interest. The paper presents the first model for supporting decision-making in the field of energy sustainability for the region of Southeastern Europe, which is based on the application of Bayesian Networks. Conclusion: Testing of the developed model showed certain characteristics, discussed in paper. The application of developed model will make it possible to predict the short-term and long-term consequences that may occur during energy transition by varying these factors. Recommendations are given for further development of the model, based on Bayesian networks.
Ključne besede: sustainable energy transition, SE Europe, decision-making, Bayesian networks
Objavljeno v DKUM: 19.08.2024; Ogledov: 88; Prenosov: 10
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Opis: When introducing new technologies, companies are repeatedly faced with choosing between solutions from different providers. Regardless of all the good technical characteristics of the technology, if it is chosen inappropriately, it can prove to be a cost driver instead of something that brings added value to the system. Aware of this, we considered selecting a real-time location system (RTLS) based on Ultra-wideband technology in the indoor work environment. In practice and theory, it has been proven that the introduction of the RTLS can have highly positive effects on performance and business sustainability indicators. When reviewing the literature, it was noticed that authors solely focus on the technical properties of the systems and prices when giving guidelines on selecting the optimal RTLS. This article aims to provide advanced guidelines for UWB RTLS selection, proposing a phased selection process which is the main novelty proposed and investigated in this research. The guidelines are based on fragmented recommendations in the scientific literature that have been identified, gathered, considered, and reasonably allocated to the advanced performance-oriented phased selection process. In practice, this approach enables decision-makers to choose the most efficient and most appropriate UWB RTLS for specific logistics systems.
Ključne besede: decision-making, location data, RTLS, UWB, technology selection
Objavljeno v DKUM: 04.07.2024; Ogledov: 148; Prenosov: 19
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Opis: The master’s thesis is devoted to the issue of Artificial Intelligence (AI) perspectives in the judiciary, in particular, its application to selected parts of civil proceedings. AI affects virtually the future of every industry and every human being. The application of AI technologies in the legal industry is an issue of growing interest. In particular, attention is drawn to the judicial system due to the fact that, apart from its position of guarantor of justice in society enabling its members to enjoy their rights and freedoms granted by law, it is a service of its nature. Almost all leading jurisdictions apply AI systems in attempts to enhance the efficiency of the court proceedings. Without any doubts, AI already and successfully can imitate activities traditionally performed by humans in the courts: from vision, recognising and extracting information, whether from the document, picture or natural speech, to analysing of information received and predicting the outcomes or decision-making. However, it is hard to say that AI-era in the judiciary has already begun. There is no jurisdiction in the world in which AI is fully given ‘green light’- they are all at the beginning of the AI-journey. That is mostly due to the fact that the same technical specifications, which power achievements, accuracy and flexibility of AI, place serious limitations for the wide application thereof. First of all, AI systems rely on data, which can be biased or spoiled in another way initially or easily manipulated later. Secondly, AI systems are not transparent (black-box-problem) and, as a result, are incomprehensible. These two shortcomings place an obstacle for the correct realisation of some fundamental rights in civil proceedings in their traditional understanding, and consequently, for the wide deployment of AI systems therein. It is concluded that the application of AI in the judiciary, in general, and in the civil proceedings, in particular, is subject of sufficient limitations mostly due to incompliance of AI systems with the traditional understanding of fundamental rights and principles the civil proceedings stand on. In the pursuit of the effectiveness of judiciary by means of AI application, fundamental guarantees can appear at stake, and vice versa, in the pursuit of respect of fundamental rights, the judiciary may be left out of the modern world in the stage of complete inadequacy to the needs of the society, therefore, the issue is required extensive research in order to find a fair and right balance.
Ključne besede: artificial intelligence, judiciary, civil proceedings, AI-judge, efficiency of the judiciary, automatic decision-making
Objavljeno v DKUM: 24.09.2021; Ogledov: 960; Prenosov: 132
Celotno besedilo (1,13 MB)