Browsing by Author "Kucukonder, H."

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Evaluating Green Marketing Practices in the Logistics Industry Under Type-2 Neutrosophic Fuzzy Environment
(Elsevier Ltd, 2025) Faruk Görçün, Ö.F.; Ul Ain, N.; Kucukonder, H.; Durmusoglu, S.S.; Uray, N.; Tirkolaee, E.B.
The logistics industry is under increasing pressure to implement Green Marketing (GM) strategies in response to growing environmental concerns and rising stakeholder expectations. Although international organizations and governments encourage the adoption of sustainability, practical decision support tools for executing GM strategies, particularly within logistics Small and Medium-Sized Enterprises (SMEs), remain underdeveloped. This study tries to advance the literature by introducing a novel hybrid Multi-Criteria Decision-Making (MCDM) framework that uniquely integrates Delphi, CRiteria Importance Through Inter-criteria Correlation (CRITIC), and Mixed Aggregation by cOmprehensive Normalization Technique (MACONT) methods with Type-2 Neutrosophic Numbers (T2NNs). Unlike prior fuzzy MCDM studies, this integration simultaneously incorporates subjective and objective weighting, preserves ordinal consistency, and explicitly manages higher-order uncertainty. The model is applied to evaluate the GM performance of logistics SMEs in Turkey, identify key evaluation criteria, and rank firms accordingly. Among the evaluated criteria, “Land usage” and “Investment in reducing greenhouse gas emissions” emerged as the most influential, while “Omsan Logistics” is identified as the top-performing firm in GM practices. The model's reliability is then confirmed through a two-phase sensitivity analysis, demonstrating robustness across different scenarios. The findings of this work provide significant implications for logistics managers, policymakers, and researchers aiming to enhance environmental performance and make informed decisions in complex and ambiguous operational environments. © 2025 Elsevier Ltd.
Evaluation of Energy Harvesting Methods for Lighting Urban Roads With Single-Valued Neutrosophic EDAS Method
(Institute of Electrical and Electronics Engineers Inc., 2025) Faruk Görçün, Ö.F.; Kucukonder, H.
Lighting the roads, especially in big cities, is critical for safety and risk reduction. Meeting this need with renewable energy sources instead of traditional methods contributes to environmental sustainability by reducing carbon emissions. However, choosing the most appropriate one among the many energy harvesting methods requires balancing uncertainty and contradictions. Therefore, this study proposed the single-valued neutrosophic EDAS method to determine the most suitable energy harvesting method for road lighting. The model provides a flexible and balanced analysis by separately evaluating the degrees of accuracy, uncertainty, and falsity. It also addresses many criteria with a sustainability-oriented approach. According to the results, the most effective criterion is energy efficiency (T1), and photovoltaic energy harvesting has been determined as the most priority alternative for urban lighting. The robustness check supports the reliability and validity of the model. © 2025 Elsevier B.V., All rights reserved.