Decision-making in ship investment is a complex and difficult process with trade-offs. The purpose of this study is to guide the decisions on the purchase of dry bulk carriers based on a Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) multi-criteria decision analysis algorithm. A set of criteria and a set of alternatives based on various characteristics are developed and evaluated with expert questionnaires. The proposed method provides weights for a given criteria to provide ranked alternatives, identifying the optimal solution. The alternatives among the multiple suppliers are ranked in the context of the shipping investment. This study reveals that shipowners are rather acting with a holistic perspective in ship purchase; however, we prove a detailed analysis is required.

Energy has a vital role in the development of countries. The situation of global increasing demand for energy, lack of domestic resources, energy prices, etc. forces the policymakers to plan energy policies in detail. In this paper, the strategic energy situation of Turkey is analyzed. This paper presents a hybrid model that combines strength, weakness, opportunity, and threat (SWOT) analysis with the fuzzy analytic network process (FANP) method. In the evaluation process, it is occasionally impossible to take precise information from decision makers (DMs) who can say their assessments relatively and approximately. It is also needed to use fuzzy logic to alleviate this problem. Since the evaluation and selection of alternative energy policies are complex multi-criteria decision making (MCDM) problem, one of the most popular MCDM methods, ANP, is used under fuzziness in this paper. For this aim, four factors and 21 sub-factors are determined and seven alternative policies are evaluated. It is computed that the most important three sub-factors are “major companies’ interest for offshore drilling in Mediterranean and Black Sea,” “developing economy of the country,” and “rapidly increasing energy demand,” respectively. As a result, Turkish energy policy makers are advised to focus on the privatization of electric transmission and distribution facilities, integrating the national electric system with European transmission systems and turning the country into an energy hub and terminal to be able to get the rapid economic growth and mitigate future energy problems.

Disaster management minimizes potential harm and protects populations across four phases: preparedness, mitigation, response, and recovery. Diverse scientific approaches could be applied at each phase, among which Multi-Criteria Decision-Making (MCDM) methods are widely recognized and utilized. Their integration provides a systematic framework for prioritizing disaster-related criteria, optimizing resource use, and minimizing environmental impact, ultimately enhancing community resilience. This study conducts a bibliometric analysis to identify pioneering researchers, leading institutions, contributing countries, and interaction levels working on MCDM methods in disaster management and emergency transportation, as well as to reveal key trends. 365 Web of Science and Scopus publications (2000–2024) were analyzed using the Bibliometrix tool in R. As a significant outcome, three important clusters emerged: Disaster Planning and Logistics, Risk and Resilience, and Crisis Response and Decision Support. The interplay between these clusters and the methodologies shaping them was highlighted, alongside insights from the most recent studies. This study could serve as a roadmap for future research, guiding efforts to address gaps such as real-time applications, multi-hazard integration, and scalability. It contributes to the limited body of research on MCDM in disaster management and emergency transportation, laying the groundwork for upcoming studies that could enhance resilience and promote sustainable development.

U proizvodnom sustavu, neodgovarajući izbor stroja može stvoriti mnoge probleme jer može negativno utjecati na proizvodnost, preciznost, fleksibilnost i kvalitetu proizvoda, pa se odabir stroja smatra važnim za učinkovitost sustava....