Yazar "Pamucar, Dragan" seçeneğine göre listele

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    A single-valued neutrosophic CIMAS-CRITIC-RBNAR decision support model for the financial performance analysis: A study of technology companies
    (Elsevier Science Inc, 2024) Kara, Karahan; Yalçın, Galip Cihan; Çetinkaya, Aslı; Simic, Vladimir; Pamucar, Dragan
    Financial performance stands as a fundamental performance indicator that reflects companies' current financial conditions, providing information to investors and stakeholders about companies' financial well-being. In this research, a decision support system is developed for identifying the financial performance of companies traded on stock exchanges. This decision support system is based on a multicriteria decision -making (MCDM) approach and neutrosophic logic. The research introduces a novel method for calculating and ranking financial performance, using financial ratio indicators as selection criteria. The importance levels of financial ratio indicators are weighted through two different approaches. In the first approach, expert opinions and criteria importance assessment (CIMAS)-based on single -valued neutrosophic (SVN) sets are utilized for calculation. In the second approach, criteria importance through intercriteria correlation (CRITIC) -based on reference -based normalization processes is employed for criteria weighting. Subsequently, the results of the two criterion weightings are combined to calculate the final criterion weights. The SVN reference -based normalization alternative ranking (RBNAR) method is presented for ranking companies based on their financial performance. Thus, SVN-CIMASCRITIC-RBNAR is developed and its algorithm is presented. The novel hybrid decision support model is applied to a case study of technology companies traded on the Borsa Istanbul. The research results support the applicability of the SVN-CIMAS-CRITIC-RBNAR hybrid method. The results of the case study and sensitivity analyses affirm the applicability and robustness of the SVN-CIMAS-CRITIC-RBNAR hybrid model. The research provides detailed implications and insights for financial managers.
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    An intuitionistic fuzzy-based model for performance evaluation of EcoPorts
    (Elsevier Ltd, 2023) Yalçın, Galip Cihan; Kara, Karahan; Toygar, Arda; Simic, Vladimir; Pamucar, Dragan; Köleoğlu, Nilay
    The EcoPort performance level serves as a basic indicator to determine the environmental status of a port and its achievement of certification standards. The European Sea Ports Organization has defined ten essential EcoPort criteria that contribute significantly to the assessment of EcoPort performance. The primary motivation for this study is to determine the importance of the criteria from the perspective of academics and chief officers, as well as to evaluate the EcoPort performance of six port authorities that comply with three basic certification standards for environmental management systems. The research methodology and application are conducted in four phases. In the first phase, experts, criteria, and alternative ports are identified. In the second phase, the importance levels of experts are determined using neutrosophic sets, while the criteria are weighted using the intuitionistic fuzzy weighting averaging operator. In the third phase, the alternative ranking order method accounting for two-step normalization (AROMAN) based on the intuitionistic fuzzy sets is introduced to evaluate the EcoPort performance of the ports. In the fourth phase, the results are supported by sensitivity analysis scenarios. The research results identified air pollution as the most critical criterion, while the Valencia Port Authority secured the highest rank in terms of EcoPort performance. Ultimately, this research contributes to the literature by developing and applying the new IF-AROMAN method for EcoPort performance evaluation. © 2023 Elsevier Ltd
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    Bridging energy and sustainability: A game theory and fuzzy decision analytics approach to climate change management
    (Academic Press Ltd- Elsevier Science Ltd, 2025) Savas, Gonul Selin; Mentese, Sibel; Aycin, Ejder; Pamucar, Dragan
    The world has been facing a very hot-spot global problem called climate change due to the increased atmospheric temperature and some indicators resulting from warming due to fossil fuel consumption to supply the energy demand. Therefore, central governments and non-governmental initiatives have mandated or encouraged energy management practices. The primary objective of this research is to manage the complex decision-making process effectively, which involves multiple stakeholders, particularly governments and non-governmental initiatives, within the challenging context of climate change. The decision-making processes in energy and environmental management are inherently complex due to the involvement of heterogeneous stakeholders (governments and non-government initiatives) with potentially divergent objectives and priorities. Modeling these interdependent strategic interactions in a realistic yet tractable manner poses a significant challenge. We address this challenge by developing a hybrid decision-making framework that combines fuzzy multi-criteria decision-making (MCDM) techniques with two-player, non-zero-sum game theory. The contribution of stakeholders (government and non-governmental initiatives) on energy and environmental management was estimated for the following three criteria determined in this study: (i) increasing environmental management system (EMS) applications, (ii) promoting the circular economy (CE) concept for material and energy flows, and (iii) increasing the proportion of renewable energy (RE) resources to meet the energy demand. The strategies to be applied by both stakeholders were evaluated using fuzzy multi-criteria decision-making (MCDM) analysis according to the evaluations obtained through three experts in the environmental engineering discipline. Subsequent to the Multi-Criteria Decision-Making (MCDM) phase, the game theory methodology was employed, taking into account the Nash equilibrium concept to ascertain optimal strategies for both stakeholders engaged in the simultaneously played game. Furthermore, the sequential game version is examined by utilizing the technique of backward induction. The findings indicate that in all constructed games, government and non-governmental initiatives preferred to increase the use of RE resources or increase public awareness of the materials' life cycle assessment (LCA) or else promote the integration of EMS conception in any process. These results are intended to contribute to both energy and environmental management processes.