Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • Kitap BölümüYalnız künye2025
    Bayesian Best–Worst Method Application for Assessing the Potential Effecting Areas of Climate Change: A Case Study in Turkey

    Konurhan, Zekeriya; Yücesan, Melih; Gul, Muhammet

    ‘Climate Change’ is a term used to refer to global changes in the Earth's average temperature and the consequences of changes in temperature. More clearly, it demonstrates changes in temperature and weather patterns over time. The emergence of this situation directly or indirectly affects irreparable damages and major/minor disasters in many areas. Determining the answer to the question of which of these areas has an impact at what level of importance will provide guidance on which one should be prioritized in carrying out an effective treatment. Therefore, in this study, this problem is ad-dressed as a multi-criteria decision problem using Bayesian Best–Worst Method. The potential impacts have been categorized under 8 main areas and weighted via participating of 8 competent experts (geography, emergency disaster management, geomorphologist, climate scientist etc.) in the field of climate change. The study results determined that B (Ecosystems and Water Resources) has the most critical impact area, with 0.200. The least essential domain is G4 (Adaptation and Resilience Strategies in the Tourism Industry), which weighs 0.012. The results showed that they provide important clues regarding which impacts should be addressed first.

    • SDG 13 · İklim Eylemi
  • Kitap BölümüYalnız künye2025Scopus SJRQ4
    Examination of Recycled Papers Using an Intuitionistic Fuzzy Set-Based MCDM

    Tuğrul, Feride

    Multi-criteria decision making (MCDM) methods are used in combination with intuitionistic fuzzy sets offer very favorable results to decision makers. Intuitionistic fuzzy set-based MCDM methods defined in this direction were utilized in many application areas. In this study, recycled papers were examined separately according to Cyan, Magenta and Yellow colors. Paper samples, which passed through a total of 4 recycling stages, were evaluated according to their L, a, and b values. The decision making mechanism established in the study was observed that provides effective results in the fields such as paper quality, print quality, recycling, etc.

    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus1OpenAlex1
    Scopusİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Selection of the central composting facility for organic wastes through the Bayesian best worst method and Geographic information system incorporation: The case of Istanbul

    Güler, Mustafa; Samastı, Mesut; Yücesan, Melih; Gül, Muhammet; Çelik, Erkan; Ciner, Miraç Nur; Algorabi, Ömer

    The rapid increase in municipal solid waste (MSW) generation, driven by population growth and unplanned urbanization, has made the location of organic waste collection and disposal facilities a critical issue for metropolitan cities. Improper waste management practices threaten environmental sustainability, human health, and urban futures. This study applies multicriteria decision-making (MCDM) methods to identify the optimal placement for a central composting facility in Istanbul. A novel MCDM mechanism was developed, building on existing methods and addressing a gap in the literature. While determining the criteria, academic studies on this subject were researched in depth and the criteria used in these studies were brought together to obtain 28 criteria. The study assessed 28 criteria using the Bayesian Best-Worst Method (BWM) to determine their relative importance. These weights were then integrated into a Geographic Information System (GIS) to produce a suitability map, highlighting the most appropriate locations for the facility. Based on this analysis, the Çatalca Karacabey region was identified as the optimal site, ensuring reduced environmental impact and improved efficiency in organic waste management. The study contributes both theoretically and practically to the field, offering a robust framework for sustainable waste facility siting and providing actionable insights for urban governance. The study provides valuable insights for facility siting and urban governance, while highlighting areas for future research.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus5WoS4
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2022Scopus SJRQ2
    A New Hybrid Fuzzy Multi-Criteria Decision Methodology for Prioritizing the Antivirus Mask over COVID-19 Pandemic

    Kaya, Sema Kayapinar; Pamucar, Dragan; Aycin, Ejder

    During the COVID-19 pandemic, masks have become essential items for all people to protect themselves from the virus. Because of considering multiple factors when selecting an antivirus mask, the decision-making process has become more complicated. This paper proposes an integrated approach that uses F-BWM-RAFSI methods for antivirus mask selection process with respect to the COVID-19 pandemic. Finally, sensitivity analysis was demonstrated by evaluating the effects of changing the weight coefficients of the criterion on the ranking results, simulating changes in Heronian operator parameters, and comparing the obtained solution to other MCDM approaches to ensure its robustness.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus21WoS15OpenAlex23
    ScopusWeb of Scienceİncele
  • Yüksek Lisans TeziAçık Erişim2020
    Güneş enerji santrali yer seçimi için iki aşamalı bir model önerisi: Tunceli örneği

    Yunus Emre Aykaç

    With the developing industry over the world and in our country, the need for energy is increasing day by day. The importance of renewable energy sources is increasing day by day due to the great damage caused by fossil fuels to the environment. One of the most important of these is solar energy, which has a very high potential in our country. Due to the high cost of panels and the long return period of the solar power plant investment to be made, the location where the solar power plant will be established is of vital importance for the feasibility of the investment. This study aims to develop a two-stage multi-attribute decision-making (MADM) model for a solar power plant for Tunceli. In this context, initially, by searching the literature and taking expert opinions, the factors affecting the location selection were determined as soil structure and ground, fault line, recreation, landslide, slope, solar radiation, elevation, orientation and distance to power substations. These criteria were weighted by the Best-Worst Method (BWM). Although many MADM methods require a comparison matrix that includes all criteria, fewer comparison matrices are needed in BWM. Since the comparisons in BWM are based on the best and the worst criterion, it enables decision makers to make a more reliable pair wise comparison. Secondly, the most suitable location was selected among eight alternative locations (Tunceli Center, Pülümür, Ovacık, Mazgirt, Hozat, Çemişgezek, Nazımiye, Pertek) according to the weighted criteria. In the second stage, five different MADM methods were used. These are TOPSIS, VIKOR, SAW, GRA and ELECTRE. According to the BWM results; while solar radiation factor was the most important factor with a weight value of 0.334, the fault line factor was determined as the least important factor with a weight value of 0.038. According to the location selection results; Pertek district has been determined as the most suitable location with respect to all five methods. This study is expected to provide a useful guide for neighboring regions in solar power plant location selection and location selection problems in other areas.

  • MakaleYalnız künye2017Scopus SJRQ1
    An integral based fuzzy approach to evaluate waste materials for concrete

    Onat, Onur; Celik, Erkan

    Waste materials in concrete have been considered as one of the most important issues by the authorities, policy makers and researchers to maintain engineering serviceability in terms of economy, durability and sustainability. Therefore, evaluation and selection of waste materials with respect to multi criteria decision making (MCDM) for the construction industry has been gained importance for recovery and reuse. In this paper, Choquet integral based fuzzy approach is proposed for evaluating the most suitable waste materials with respect to compressive strength, tensile strength, flexural strength, compactness, toughness (resistivity for dynamic loads), water absorption and accessibility. On conclusion, waste tyre and silica fume were determined as the most suitable waste materials for concrete production. The obtained results are recommended to assist the authorities on configuring well designed strategies for construction industry with disposal materials.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus12WoS12OpenAlex9
    ScopusWeb of Scienceİncele
  • Derleme MakaleYalnız künye2016Scopus SJRQ1
    A state of the art literature review of VIKOR and its fuzzy extensions on applications

    Gul, Muhammet; Celik, Erkan; Aydin, Nezir; Gumus, Alev Taskin; Guneri, Ali Fuat

    Multi criteria decision making (MCDM) is one of the research areas of operations research and management science which has widely studied by researchers and practitioners. It finds a compromise solution for evaluating and ranking alternatives from the best to the worst under conflicting criteria with respect to decision maker(s) preferences. In a compromise approach, the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR; that means multi-criteria optimization and compromise solution) continues to be applied satisfactorily across different application areas. This paper conducts a state-of-the-art literature review to categorize, analyze and interpret the current research on VIKOR applications. It also discusses the extensions of VIKOR applied in fuzzy environments. A total of 343 papers are classified into 13 different application areas and a number of sub-application areas. Furthermore, all papers are also categorized with respect to publication year, published journal, country of origin, application type (real case study vs empirical study), and version of fuzzy sets used. This comprehensive literature review provides an insight for researchers and practitioners on VIKOR applications in terms of showing current state and potential areas for future attempts to be focused in the future. (C) 2016 Elsevier B.V. All rights reserved.

    AtıfWoS252OpenAlex320
    Web of Scienceİncele