Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(64)
- Merdan, Mehmet(47)
- Baltaci, Cemalettin(35)
- Kulakaç, Nurşen(28)
- Duran, Celal(27)
- Ozdes, Duygu(24)
- Turan, Ibrahim(24)
- Demir, Selim(23)
- Türkkan, Tuğba(22)
- Bayrakdaroglu, Serdar(21)
- Topal, Fevzi(21)
- Öztürk, Serkan(21)
- Ürkek, Bayram(21)
- Gücer, Mehmet Ali(20)
- Akar, Zeynep(19)
- Kaygusuz, Abdullah(19)
- Topal, Meryem(19)
- Anaç, Halil(18)
- Aydin, Aydanur(18)
- Batan, Nevzat(18)
- Erata, Hüseyin(18)
- Tuncer, Metin(18)
- Akyürek, Suat(17)
- Baltacı, Cemalettin(17)
- Karimullah, Suud Sarim(17)
- Acet, Tuba(16)
- Akar, Bülent(16)
- Ashyralyyev, Charyyar(16)
- Düzgün, Azer Özad(16)
- Hintistan, Sevilay(16)
- Yılmaz, Coşkun(16)
- Aliyazicioglu, Yuksel(15)
- Kaya, Hacer(15)
- Kurnaz, Muammer(15)
- Kurt, Kemal(15)
- Ozden, Talat(15)
- Yilmaz, Coskun(15)
- Yuksel, Ferhat(15)
- Yücel, Cem(15)
- Öz, Mehmet(15)
Yayınlar
- MakaleAçık Erişim2023Determinants of Individual Worries on Food Insecurity in Afghanistan
Karapınar Kocağ, Esra
According to the United Nations (UN), more than 30 per cent of the world’s population experienced food insecurity moderately or severely in 2020 and Sustainable Development Goal 2 clearly claims to end hunger by 2030. Afghanistan within those regions with severe food insecurity has become prominent as both environmental deterioration due to climate change and ongoing conflict affects this situation twice as much. Using Food Insecurity Experience Scale (FIES-2018) data that was provided by Food and Agriculture Organization of the United Nations (FAO), this paper provides evidence on the determinants of individual worry on having enough food with a sample of 998 individuals through a probit model. Findings reveal that having a college degree significantly reduces the probability of being worried not to have enough food. Further, living in a rural area increases this probability, while being in a richer income quintile and having one more adults in the household decreases it. Empirical evidence of this research suggests a few policy implications. Education should be generalised in the society; and production techniques in the rural areas should be improved to increase the level of production and to save the environment. These efforts might increase the wage level that would help to increase household income to alleviate food insecurity.
AtıfScopus2OpenAlex2
İncele - MakaleAçık Erişim2023Scopus SJRQ2Getting the measure of the fourth industrial revolution: advantages and challenges of Industry 4.0 in the Turkish white goods industry
Şimşek Demirbağ, Kübra; Yıldırım, Nihan
Purpose: Industry 4.0 (I40) is an open window of opportunity for Turkey, a developed country, to eliminate technological dependence and produce with maximum productivity. However, I40, which corresponds to the fourth wave of industrial revolutions, brings both opportunities and challenges. In this context, this study aims to reveal the foresight of managers in the Turkish white goods industry (TWGI) regarding the advantages and challenges of I40 and compare them with the literature. Design/methodology/approach: The Delphi method was used for the study. Data were collected from managers of companies that are members of the White Goods Suppliers Association (BEYSAD). Seventy managers from 55 companies participated in the first round, and 19 managers participated in the second round of Delphi. Findings: The results show that the most frequently cited advantages are productivity/resource efficiency, data and information-enabled effectiveness/productivity, quality 4.0 and competitiveness/strategy. The most frequently mentioned challenges are financial resources/investment, employee qualification/training, technical/processual challenges and organizational transformation/leadership. Research limitations/implications: The sample was limited to the managers of the TWGI. Practical implications: Players in similar ecosystems and policymakers should consider the advantages and respond to potential challenges when creating roadmaps, taking the necessary steps and positioning themselves in the marketplace. In particular, the TWGI – Turkey’s showcase in international markets – should consider the undeniable benefits of the I40 transition to increase innovation. Originality/value: The findings for the first time highlight the advantages and challenges of I40 in an industry in Turkey, and they will benefit the TWGI, which is among the leaders in Turkey in terms of digital maturity and innovation in its journey to I40.
AtıfScopus13WoS7OpenAlex15
İncele - MakaleAçık Erişim2023Scopus SJRQ4Wong-Zakai approximation for stochastic models of smoking
Şengül, Süleyman; Beki̇Ryazici, Zafer; Merdan, Mehmet
In this study, Wong-Zakai approximation method has been used to obtain approximate solutions for two compartmental models of smoking dynamics. Stratonovich stochastic differential equation systems are obtained for these two stochastic models for the application of Wong-Zakai method. Wong-Zakai method is used together with the predictor-corrector deterministic approximation method where Adams-Bashforth method is used as the predictor pair and Adams-Moulton method is used as the corrector pair. Stochastic Runge-Kutta IV, Euler-Maruyama and stochastic Runge-Kutta strong order 1.0 schemes are also used to investigate the models and the results are compared to the results from Wong-Zakai approximation. The comparison shows that Wong-Zakai method is a reliable tool for the analysis of stochastic models and can be considered as an alternative investigation method for modeling studies. Solution graphs, error graphs and numerical results have been given as evidence to show that Wong-Zakai method can also be a reliable method for analyzing various models. An alternate technique for parallelizing the algorithm has also been given to decrease CPU times for Wong-Zakai method. This technique is suggested to overcome the extra calculation load that comes with Wong-Zakai method.
AtıfScopus2WoS2İncele - MakaleAçık Erişim2023Scopus SJRQ4A decIsIon-makIng approach for open InnovatIon model selectIon In the TurkIsh automotIve Industry
DemIr, Ayse; Peker, Iskender; Gök, A. Cansu
The concept of open InnovatIon (OI) has become crucIal In the sustaInable competItIveness of IndustrIes. The selectIon and applIcatIon of approprIate OI models for busInesses also compose an Important research questIon. ThIs study aIms to decIde the most suItable OI model In the TurkIsh automotIve Industry through a three-step multI-crIterIa decIsIon-makIng (MCDM) model. FIrstly, the crIterIa that may affect the evaluatIon of the OI models are stated and weIghted by analytIc hIerarchy process (AHP). Afterward, VlseKrIterIjumska OptImIzacIja I KompromIsno Resenje (VIKOR) Is used to rank the OI models that can be Implemented In the automotIve Industry. In the last phase, the Impacts of dIfferentIatIon In crIterIa weIghts are tested wIth one-dImensIonal sensItIvIty analysIs. AccordIng to the results, the coupled open InnovatIon model Is ranked as the best alternatIve and the dIfferentIatIon In crIterIon weIghts does not affect thIs rankIng. ThIs study Is the fIrst attempt that attaIns the most suItable OI model In the automotIve Industry by a hybrId MCDM approach.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1The Comparison with Commercial Antioxidants, Effects on Colour, and Sensory Properties of Green Tea Powder in Butter
Çakmakçı, Songül; Gülçin, İlhami; Gündoğdu, Engin; Ertem Öztekin, Hatice; Taslimi, Parham
Oxidation is one of the most important factors limiting shelf life and is a major deterioration process affecting both the sensory and nutritional quality of food. The high oxidation stability of lipids, which can be improved by the addition of antioxidants, is important for health protection, food quality, and economic reasons. In recent years, research on plant-derived antioxidants for use in human health and food has steadily increased. The aim of this study was to compare the antioxidant effects of green tea powder (GTP) in butter with those of commercial antioxidants (BHA, BHT, α-tocopherol, and Trolox). In addition, the effects on colour, sensory, gross physicochemical properties, and β-carotene content were investigated in butter. After the separation of butter into five pieces, the first part was chosen as the control sample without GTP; the second part has 100 mg/kg of BHT added to it; and the third, fourth, and fifth parts had 1, 2, and 3% of GTP added in the samples. They were stored at 4 ± 1 °C. Analysis was performed at intervals of 15 days. According to the iron reduction, CUPRAC and FRAP methods were performed, and parallel results were observed. Using the radical elimination methods (ABTS, DPPH•, and DMPD•+), IC50 values were calculated for the samples. According to the IC50 values, the GTP-containing samples were good antioxidants. The total phenolic andf β-carotene contents increased as the GTP addition increased. The addition of GTP had an antioxidant capacity equal to or higher than that of the BHT-added sample. For the production of a sensory-pleasing, greenish-coloured, new functional butter, the 1% GTP addition showed the most positive results.
AtıfScopus18WoS17OpenAlex20
İncele - MakaleAçık Erişim2023On Data Dependency and Solutions of Nonlinear Fredholm Integral Equations with the Three-Step Iteration Method
Cona, Lale; Şengül, Kadir
In this study, the solution of the second type of homogeneous nonlinear Fredholm integral equations is investigated using a three-step iteration algorithm. In other words, it has been shown that the sequences obtained from this algorithm converge to the solution of the mentioned equations. Also, data dependency is obtained for the second type of homogeneous nonlinear Fredholm integral equations and this result is supported by an example.
AtıfScopus1OpenAlex3İncele - MakaleAçık Erişim2023Scopus SJRQ2Sustainable water consumption and water-saving behaviours: A review of consumers' environmental and economic concerns in Turkey
Avci, İbrahim
Water, which plays an important role in human life, has been depleted as a result of changing consumption patterns, climate change and increasing population, and water scarcity has emerged as one of the most pressing issues facing the world in the coming years. One solution to this problem is to make more efficient and sustainable use of existing water resources. In this context, the study aims to investigate the effects of consumers' environmental and economic concerns on sustainable water consumption behaviour, as well as the mediating role of water-saving behaviour in these effects. For this purpose, it was discovered that environmental and economic concerns have positive effects on sustainable water consumption behaviour as a result of an analysis of data collected from 591 consumers in Turkey via the online survey method; it was determined that environmental concerns have no effect on water-saving behaviour, whereas economic concerns have a positive effect on water-saving behaviour. According to the findings of the mediation analysis, water-saving behaviour only serves to mediate the effect of economic concerns on sustainable water consumption behaviour.
AtıfScopus8WoS8OpenAlex14İncele - MakaleAçık Erişim2023FROM TRADITION TO MAINSTREAM: UNDERSTANDING THE INTEGRATION OF ISLAMIC LAW IN VARIOUS GLOBAL SETTINGS
Karimullah, Suud Sarim
The study highlights the importance of integrating Islamic law in global legal settings, enriching the legal framework, and promoting interreligious dialogue. This is an important area that needs to be understood and taken seriously in the context of ongoing world changes. The study used a qualitative approach to analyze academic literature, legal documents, and related research reports from various sources. The research findings identify several significant examples of integration of Islamic law in different global settings, including Muslim and non-Muslim majority countries. The integration of Islamic law in a worldwide legal environment offers meaningful potential. First, values such as social justice, balance, and common good in Islamic law can provide a different and complementary perspective to the principles of secular law. This impacts more inclusive and fair policies for the Muslim community. Second, the integration of Islamic law can better facilitate interreligious dialogue. Non-Muslim communities' more profound understanding of Islamic law may open the way for constructive dialogue, mutual understanding, and cooperation in addressing global legal issues. This has the potential to reduce tensions and increase interreligious tolerance. However, challenges and controversies are also part of integrating Islamic law. Recognition of the validity and relevance of Islamic law in more comprehensive legal settings is still doubted by some. At the same time, differences in interpretation and implementation can lead to tensions in diverse societies.
AtıfScopus13OpenAlex6İncele - MakaleAçık Erişim2023Effect of denoising methods for hyperspectral images classification: DnCNN, NGM, CSF, BM3D and Wiener
Günen, Mehmet Akif; Besdok, Erkan
Hyperspectral images are widely used for land use/cover analysis in remote sensing due to their rich spectral information. However, these data often suffer from noise caused by various factors such as random and systematic errors, making them less useful for end-users. In this study, denoising methods (i.e., DnCNN, NGM, CSF, BM3D, and Wiener) for hyperspectral images were compared using the Pavia University hyperspectral dataset with four different noise types: Gaussian, Salt & Pepper, Poisson, and Speckle. After denoising, the k-nearest neighbor method was used to classify the image, and statistical and visual performance comparisons were performed on the classified data. Six performance metrics-Accuracy, Sensitivity, Specificity, Precision, F-Score, and G-Mean-were employed to compare the outcomes qualitatively. The findings demonstrate that DnCNN and BM3D have the best outcome performance for all four noise types. Due to their lack of sensitivity and specificity, the CSF and Wiener approaches had low performance for particular noise sources. For all noise types, the NGM approach had the worst results. The validated instruments not provide effective results when it came to denoising Salt & Pepper noise, but they managed to produce outstanding results when it came to denoising Poisson noise. In order to enhance the quality and usability of hyperspectral images for land use/cover analysis, this study emphasizes the significance of choosing an effective denoising technique.
AtıfScopus5OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ2Green synthesis of fluorescent carbon dots from Robinia hispida L. leaves for selective detection of Hg (II)
Başoğlu, Aysel
In this study, Robinia hispida L leaves (RH) was used as a precursor for the first time to synthesize fluorescent carbon dots (CDs) with stable blue fluorescence by a single-step hydrothermal synthesis method. Notably, the innovative approach eliminates the necessity for toxic chemicals or hazardous substances, marking a significant advancement in the field. The synthesized CDs demonstrate CDs demonstrates the predominance of spherical shapes with an average size of 11.63 ± 1.92 nm. The CDs not only exhibit an enhanced fluorescent efficiency with a relatively high quantum yield of up to 6.8%, but they also possess the potential for direct utilization in the selective determination of Hg(II) through fluorescence quenching, even without any functionalization. Under the optimized conditions at a pH of 7.0, a robust linear correlation was found to exist between the fluorescence intensity and the concentration of Hg (II) within the range of 5–17.5 μM, exhibiting a detection limit (3σ) of 1.5 μM. Additionally, this methodology was effectively employed to successfully detect Hg (II) ions in various aqueous samples, including tap water, spring water, drinking water, and a certified reference material (CRM-SA-C Sandy Soil C). The spike recoveries of 97.6%–101.6% with less than 2.7% variability were performed on all samples.
AtıfScopus5WoS5OpenAlex6İncele - MakaleAçık Erişim2023Scopus SJRQ2Enhanced Oxidative Stability and Bioaccessibility of Sour Cherry Kernel Byproducts Encapsulated by Complex Coacervates with Different Wall Matrixes by Spray- and Freeze-Drying
Altuntas, Umit; Altin-Yavuzarslan, Gokce; Ozçelik, Beraat
Sour cherry (Prunus cerasus L.) seeds are obtained as byproducts of the processing of sour cherries into processed foods. Sour cherry kernel oil (SCKO) contains n-3 PUFAs, which may provide an alternative to marine food products. In this study, SCKO was encapsulated by complex coacervates, and the characterization and in vitro bioaccessibility of encapsulated SCKO were investigated. Complex coacervates were prepared by whey protein concentrate (WPC) in combination with two different wall materials, maltodextrin (MD) and trehalose (TH). Gum Arabic (GA) was added to the final coacervate formulations to maintain droplet stability in the liquid phase. The oxidative stability of encapsulated SCKO was improved by drying on complex coacervate dispersions via freeze-drying and spray-drying. The optimum encapsulation efficiency (EE) was obtained for the sample 1% SCKO encapsulated with 3:1 MD/WPC ratio, followed by the 3:1 TH/WPC mixture containing 2% oil, while the sample with 4:1 TH/WPC containing 2% oil had the lowest EE. In comparison with freeze-dried coacervates containing 1% SCKO, spray-dried ones demonstrated higher EE and improved oxidative stability. It was also shown that TH could be a good alternative to MD when preparing complex coacervates with polysaccharide/protein networks.
AtıfScopus9WoS8OpenAlex10İncele - MakaleAçık Erişim2023Scopus SJRQ1Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
Reis, Hatice Catal; Turk, Veysel
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick solutions. The nuclei found in the histopathology dataset are an essential parameter in disease detection. The nucleus segmentation was performed using the colorectal histology MNIST dataset for nucleus detection in this study. The graph theory, PSO, watershed, and random walker algorithms were used for the segmentation process. In addition, we present the 10-class MedCLNet visual dataset consisting of the NCT-CRC-HE-100 K dataset, LC25000 dataset, and GlaS dataset that can be used in transfer learning studies from deep learning techniques. The study proposes a transfer learning technique using the MedCLNet database. Deep neural networks pre-trained with the proposed transfer learning method were used in the classification with the colorectal histology MNIST dataset in the experimental process. DenseNet201, DenseNet169, InceptionResNetV2, InceptionV3, ResNet152V2, ResNet101V2, and Xception deep learning algorithms were used in transfer learning and the classification studies. The proposed approach was analyzed before and after transfer learning with different methods (DenseNet169 + SVM, DenseNet169 + GRU). In the performance measurement, using the colorectal histology MNIST dataset, 94.29% accuracy was obtained in the DenseNet169 model, which was initiated with random weights in the multi-classification study, and 95.00% accuracy after transfer learning was applied. In comparison with the results obtained from empirical studies, it was demonstrated that the proposed method produced satisfactory outcomes. The application is expected to provide a secondary evaluation for physicians in colon cancer detection and the segmentation. Graphical Abstract: [Figure not available: see fulltext.].
AtıfScopus29WoS21OpenAlex37İncele - MakaleAçık Erişim2023Scopus SJRQ1Geographic distribution of two Montivipera taxa using ecological niche modeling
Kurnaz, Muammer
Ecological niche modeling predicts the potential distribution areas of species and contributes to measuring the niche differentiation among taxa. Montivipera albizona and M. bulgardaghica are two mountain viper taxa distributed in Anatolia. In the present study, the habitat suitability of M. albizona and M. bulgardaghica was assessed, and ecological niche ranges between these taxa were compared. According to species distribution models, while the distribution area of M. albizona covers a relatively large region in central Anatolia, M. bulgardaghica has a relatively narrow distribution over the eastern Taurus mountains. The species distributional results showed that the annual temperature range and mean temperature of the coldest quarter were the highest contributing variables, with 62.5% for M. albizona and 67.9% for M. bulgardaghica. Montiverpa albizona prefers 13 different habitat types, while M. bulgardaghica prefers 6 different habitat types in their distribution areas. Niche differentiation analysis revealed that there was no overlap between the two taxa in terms of their ecological niches.
AtıfScopus7WoS6OpenAlex6İncele - MakaleAçık Erişim2023Scopus SJRQ3New epiphytic bryophyte communities from Turkey; [Nove zajednice epifitskih briofita iz Turske]
Alataş, Mevlüt; Erata, Hüseyin; Batan, Nevzat; Ezer, Tülay
The epiphytic bryophyte vegetation of the Kümbet Plateau (Dereli-Giresun) was investigated. A total of 40 relevés taken from tree trunks in different vegetation periods of the year 2019 were analysed using multivariate analysis methods such as detrended correspondence analysis (DECORANA) and two-way indicator species analysis (TWINSPAN), and the Braun-Blanquet method was also applied. As a result, Frullanio tamarisci-Neckeretum pumilae Alataş, Ezer, Batan & Erata ass. nov. and Frullanio tamarisci-Neckeretum pumilae-isothecietosum alopecuroidis Alataş, Ezer, Batan & Erata subass. nov. were described as new syntaxa from Turkey. In addition, Ulotetum crispae -sanionietosum uncinatae was recorded for the first time from Turkey, while Ulotetum crispae was recorded for the second time from Turkey. These syntaxa were analysed in terms of their ecological and floristic aspects.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ4Solutions of multiplicative linear differential equations via the multiplicative power series method
Yalcin, Numan; Dedeturk, Mutlu
In this study, fundamental concepts of multiplicative analysis is given. Also, definitions of multiplicative Taylor series (MTS), multiplicative Taylor polynomials (MTP), and multiplicative power series (MPS) are given. Solutions of higher-order multiplicative linear differential equations (MLDE) are investigated with the help of the MPS method. Applications of MPS method are done for first, second, and third-order multiplicative ordinary linear differential equations. Copyright 2021, Yıldız Technical University.
AtıfScopus5WoS5OpenAlex8İncele - MakaleAçık Erişim2023Financial Wellbeing during Covid-19 Pandemic: Concerns about Medical Costs; [Covid-19 Salgını Sırasında Finansal Refah: Tıbbi Maliyetlerle İlgili Endişeler]
Kocağ, Esra Karapinar
Financial wellbeing which represents a great concern for individuals regardless of their social status or their current employment situation constitutes an important element of overall individual wellbeing. Within a broader structure of financial wellbeing, concerns about medical costs have gained a vital importance particularly following the pandemic. Identifying what factors influence this growing concern is critical to tackle with the problem and improve individual wellbeing. Hence, this study is expected to shed light on such an important individual and national concern. To that end, this paper utilizes Global Financial Inclusion Database which is based on national representative surveys of about 128,000 adults across more than 120 countries. Empirical analysis in which ordered probit model was applied aims to investigate if there exists an association between financial concerns about medical costs and COVID-19. Findings of the empirical investigation reveal that being in the group of those who are very worried about financial hardship due to Covid-19 outbreak increases the probability of reporting being very worried about medical cost payments by about 34.5 percentage points. Therefore, it is seen that pandemic detrimentally related to individuals’ increased concerns over medical costs. These findings are expected to guide policy makers on the management of healthcare system and measures to improve individual wellbeing.
AtıfOpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1On the solutions of fractional random ordinary differential equations with the Residual power series method
Merdan, Mehmet; Atasoy, Nihal
In this study, random ordinary differential equations obtained by randomly choosing the coefficients or initial conditions of the ordinary differential equations will be analyzed by the Residual Power Series Method. The initial conditions or coefficients of the equations will be converted to random variables with Normal, Gamma and exponential distribution. Probability characteristics such as expected value, variance and confidence interval of the obtained random ordinary differential equations will be calculated. Obtained results will be drawn with the help of MATLAB (2013a) package program and random results will be interpreted.
AtıfScopus3WoS2İncele - MakaleAçık Erişim2023The Numerical Solutions of the Conformable Time-Fractional Noyes Field Model via a New Hybrid Method
Öner, Bedir Kaan; Anaç, Halil
This article employs a novel method, namely the conformable q-Sawi homotopy analysis transform method (Cq-SHATM) to investigate the numerical solutions of the nonlinear conformable time-fractional Noyes-Field model. The proposed method, namely Cq-SHATM, is a hybrid approach that integrates the q-homotopy analysis transform method and the Sawi transform using the concept of conformable derivative. 3D graps of the solutions obtained with this method were drawn. Additionally, 2D graphs of the solutions were obtained in the Maple software program. The computer simulations were conducted in order to validate the efficacy and reliability of the proposed method.
AtıfOpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1Does ecological footprint in ECCAS and ECOWAS converge? Empirical evidence from a panel unit root test with sharp and smooth breaks
Çelik, Orkun; Adali, Zafer; Bari, Bilgin
The costs due to climate change have been increasing day by day. In addition to the risk of losing our planet’s natural assets due to the increasing destructiveness of climate-related natural disasters and extreme climate events, we are also faced with grave economic risks. For this reason, researchers have recently focused on environmental issues. Nevertheless, they generally have investigated developed countries and ignored developing and least developed countries such as African countries. The United Nations (2015) report highlights that African countries should be specially investigated. Hence, the paper analyzes whether the ecological footprint in the Economic Community of Central African States (ECCAS) and Economic Community of West African States (ECOWAS) converges for the period from 1961 to 2017. We employ Bahmani-Oskooee et al.’s (2014) panel unit root test with sharp and smooth breaks. The empirical findings demonstrate that the ecological footprint is stationary in ECCAS and ECOWAS. Stated in other words, the ecological footprint in these countries converges. Therefore, policymakers could implement similar policies to reduce the ecological footprint in these countries. This policy framework paves the way for an effective sustainable development.
AtıfScopus13WoS11OpenAlex18İncele - MakaleAçık Erişim2023Scopus SJRQ1Multi-criteria evaluation of medical waste management process under intuitionistic fuzzy environment: A case study on hospitals in Turkey
Çelik, Sefa; Peker, İskender; Gök-Kısa, A. Cansu; Büyüközkan, Gülçin
Waste management has come to the fore in the whole world with the increasing impact of the Covid-19 pandemic along with concerns about human health, environmental threats, and socio-economic factors, etc. Medical waste is one of the waste types that need special management processes including particularly collection, storage, separation, and disposal. Healthcare activities create a great amount of medical waste deriving from the hospitals. This study aims to determine the hospital that carries out medical waste management in the most effective way in Erzurum, Turkey. To handle intense uncertainty in the evaluation process, the case is analyzed by Intuitionistic Fuzzy Multi-Criteria Decision-Making (IFMCDM) methods. The present study contributes to the literature by focusing on a real case problem under IF environment in a Group Decision-Making (GDM) framework. Additionally, based on the literature review and expert judgments, the evaluation criteria relevant to the case are defined in this paper. To this end, a four-phased integrated methodology that involves Intuitionistic Fuzzy Weighted Averaging (IFWA), IF Analytical Hierarchy Process (IFAHP), IF Technique for Order Preference by Similarity to Ideal Solution (IFTOPSIS) and One-Dimensional Sensitivity Analysis, is conducted. Firstly, IFWA is aimed to express the significance levels of decision makers (DMs) based on their knowledge, qualifications and experiences. Secondly, IFAHP is used to calculate the importance weights of the decision criteria and IFTOPSIS is preferred to rank the available hospitals. Then, sensitivity analysis is employed to display robustness. According to the results, the most important criteria are Qualified personnel, Health institution infrastructure, and Control of waste, respectively and the most efficient hospital is determined.
AtıfScopus50WoS48OpenAlex65İncele