Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(62)
- Merdan, Mehmet(58)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(43)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(33)
- Öztürk, Serkan(32)
- Araz, Onur(31)
- Demir, Selim(29)
- Kulakaç, Nurşen(29)
- Dokuz, Abdurrahman(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Sipahi, Ferkan(27)
- Topal, Fevzi(27)
- Turan, Ibrahim(27)
- Kandemir, Raif(25)
- Kurt, Kemal(24)
- Ozturk, Samet(24)
- Peker, Iskender(24)
- Vural, Alaaddin(24)
- Reis, Hatice Catal(23)
- Yücel, Cem(23)
- Aydin, Faruk(22)
- Baltaci, Cemalettin(22)
- Gücer, Mehmet Ali(22)
- Günen, Mehmet Akif(22)
- Kankal, Murat(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(20)
- Kurnaz, Muammer(19)
- Tuncer, Metin(19)
- Yolcu, Halil(19)
- Çelik, Necati(19)
- Ürkek, Bayram(19)
- Şan, Murat(19)
- Aliyazicioglu, Yuksel(18)
Yayınlar
- MakaleAçık Erişim2020Scopus SJRQ2The Costs of Disability in Turkey
İpek, Egemen
In this study, the additional economic cost of disability for households is calculated using a standard of living approach (SoL) for Turkey. Firstly, the Standard of Living (SoL) index is determined using principal components analysis through the Household Budget Survey data for the year 2014. The cost of disability is estimated using ordered logit method by dividing the index into three income groups such as low, middle and high. As a result of the analysis, it is estimated that households with disabilities need additional financial support of at least 9.1% of household income in order to reach the same standard of living as those without disabled individuals. In addition, two different levels of disability, which are working life disability and daily life disability, are considered in estimating the cost of disability. While the cost caused by individuals’ disabilities in working life is 14.6% of their household's income, the ratio is 9.1% for the individuals’ disabilities in daily life.
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İncele - MakaleYalnız künye2020Scopus SJRQ2Hazard analysis using a Bayesian network and linear programming
Efe, Burak; Kurt, Mustafa; Efe, Ömer Faruk
In order to make a system safer, it is necessary to determine which hazard should be removed by considering the interactions of all hazards in the process. In this study, the influence of the hazards related to iron works in a construction firm is examined by Bayesian network approach. If only the most important hazard is identified and removed from the work environment, it may be erroneous to comment on the levels of the remaining hazards. A Bayesian network is proposed to remove this problem. If there is more time and budget than planned for a process, these capacities will have to be reduced in other processes. Linear programming is proposed to remove this problem. A strong decision support system has been established by combining a Bayesian network and linear programming. A construction firm application has been demonstrated using the proposed method.
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İncele - MakaleAçık Erişim2020Scopus SJRQ2Biological activities and phytochemical screening of ethanol extracts from adonis paryadrica (Ranunculaceae)
Ucuncu, Osman; Baltaci, Cemalettin; Akar, Zeynep; Duzgun, Azer Ozad; Cuce, Mustafa; Kandemir, Ali
In this study, secondary metabolite profiles of flower, leaf and root of Adonis paryadrica ethanolic extracts were performed by using a newly developed and validated LC-MS/MS method. For this purpose, the LC-MS/MS system was used for the quantitative and qualitative analysis of 37 phytochemicals. The main component of the flower, leaf and root extracts was the quinic acid (160, 111 and 64 mg/kg, respectively). Antioxidant activities were determined using methods such as DPPH (SC50, mg/mL), FRAP (µM TEAC), CUPRAC (µM TEAC), ABTS (SC50, mg/mL) and TPC (GAE, µg/mL). While the highest antioxidant activity value for FRAP, CUPRAC, ABTS and TPC methods was determined in the leaf part of the plant, this value was determined in the flower part for DPPH. The antibacterial effects of the plant extracts were determined by liquid microdilution and agar diffusion methods. As a result, antimicrobial effect of flowers, leaf and all sections of plant extracts were determined except plant root extracts which did not display any activity against bacteria. Antimicrobial activity of the plant flower extract was found to be higher especially against to P. vulgaris with 3.5 mg/mL MIC.
AtıfScopus11WoS8OpenAlex17İncele - MakaleYalnız künye2020Scopus SJRQ2Phytochemical profile and biological activity of a therapeutic orchid from Anatolia: Dactylorhiza romana subsp. georgica
Kotiloğlu, Deniz; Acet, Tuba; Özcan, Kadriye
In Anatolia, the tubers of Dactylorhiza romana subsp. georgica orchid are consumed as food and frequently used in folk medicine to alleviate the symptoms of some disorders. However, these properties have not been scientifically studied until the present day. In this research, we aimed to identify phenolic profile of the orchid tubers and determine their several features and functions. Among these, there are the antioxidant and antimicrobial effects and the inhibitory effect against diabetes related enzymes (α-amylase and α-glucosidase). In this sense, total phenolic content (Folin–Cicalteu assay), total antioxidant capacity (Phosphomolybdate method), antioxidant (ABTS and DPPH assays) and enzyme inhibition effects of tuber extracts obtained with different solvents (chloroform, ethyl acetate, methanol, ethanol, or hexane) were determined by using spectrophotometric methods, and the phenolic profile was also analysed by HPLC. In addition, antimicrobial activity of the extracts against 3 g (+) and 3 g (−) bacteria and 2 forms of yeasts was determined by disc diffusion and micro dilution methods. Based on our findings, the total phenolic content and antioxidant properties of ethyl acetate extract were considerably higher than the others. The most abundant among the screened phenolic standards was found to be benzoic acid. The highest α-amylase and α-glucosidase enzyme inhibition was measured in methanol and chloroform extracts, respectively. The highest antibacterial (B. cereus) and anticandidal (C. tropicalis and C. albicans) activities were detected in the chloroform and ethyl acetate extracts, respectively. In short, it was clearly seen that the D. romana subsp. georgica tuber had a great potential for being used in food and drug industries as a source of bioactive compounds.
AtıfScopus16WoS10OpenAlex16İncele - MakaleAçık Erişim2020Scopus SJRQ3Highly sensitive fluorometric method based on nitrogen-doped carbon dot clusters for tartrazine determination in cookies samples
Gümrükçüoğlu, Abidin; Başoğlu, Aysel; Kolayli, Sevgi; Di̇Nç, Saliha; Kara, Meryem; Ocak, Miraç; Ocak, Ümmühan
Nitrogen-doped carbon nanodots (CDs) were prepared via the solvothermal method, using urea and triethylene glycol as the starting materials. The as-prepared CDs had individual diameters of approximately 100 nm and were in clusters of different sizes. The surface composition and optical properties of the as-prepared CDs were characterized. They exhibited multicolor emission properties in the visible range when excited with a wide wavelength range. The aqueous solution of the CDs was used in highly sensitive tartrazine determination. The fluorescence quenching of the CDs was in a linear relationship with the concentrations of tartrazine in the range of 0.5–30.0 µM. The detection limit of the assay was 0.18 µM. Acceptable recovery results were obtained via spike-recovery experiments on cookie samples.
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İncele - MakaleAçık Erişim2020Scopus SJRQ4The middle income trap: Theory and empirical evidence; [Orta gelir tuzagi: Teori ve ampirik kanit]
Topal, Mehmet Hanefi
The middle income trap (MIT) is a concept that is often used in the economic development literature but is not defined clearly enough. The purpose of this study is to revise previous discussions on MIT and to make an empirical investigation of the existence of MIT in 44 middle-income countries based on Ye and Robertson's (2016) time series approach. Unlike conventional time series analyses, this study takes into consideration non-linearity in time series and smooth transition of structural breaks. The empirical findings of this study show the following results. There is strong evidence of the existence of MIT in seven countries. The stochastic convergence is valid for twenty one countries, including Turkey. The trend findings of the countries show that the income gap between ten countries and the US is decreasing quite slowly or increasing steadily. These results also indicate that economic and institutional reform requirements maintain their priority in the political agenda in most middle income - especially in Latin American - countries.
AtıfScopus2OpenAlex5İncele - MakaleAçık Erişim2020Scopus SJRQ4A comparison of alternative curve fitting techniques for different earthquake fault parameters of Iranian earthquakes; [Comparación de técnicas de ajuste de curvas para diferentes parámetros de fallas en terremotos en Irán]
Öztürk, Serkan; Ghassemi, Mohammad R.; Sarı, Mahmut
In this study, we tried to estimate the optimum linear equations among the parameters associated with different earthquake fault mechanisms for Iranian earthquakes. For this purpose, we tested different curve fitting methods in order to present the most proper empirical relationships between several seismic parameters for different fault systems. In the present paper, 46 large and destructive Iranian earthquakes whose magnitudes change between 5.8 and 7.8 from 1900 to 2014 were used for the analyses. A comparison was made by using four types of curve fitting techniques. The estimation procedures are considered as (1) L2 or Least Squares Regression, (2) L1 or Least Sum of Absolute Deviations Regression, (3) Robust Regression and, (4) Orthogonal Regression. Confidence intervals were selected as 95% for all types of regression relationships. In the selection of the best probability distribution, we considered the correlation coefficients of the linear regressions as a powerful and conceptually simple method. Correlation coefficients of all relationships change between 0.299 and 0.986 with Orthogonal regression, between 0.168 and 0.792 with L1 regression, between 0.059 and 0.829 with Robust regression. For Iranian earthquakes, the most suitable and reliable empirical relationships between moment magnitude (Mw) and surface wave magnitude (Ms), Mw and surface rupture length (SRL), Mw and maximum displacement (MD), and SRL and MD were obtained by Orthogonal regression since it supplies stronger correlation coefficients than those of the other regression techniques in most estimates. The results show that estimated empirical relationships among the different fault parameters by using the Orthogonal regression method can be accepted as more up-to-date and more appropriate in comparison with the other regression norms. Consequently, these equations were suggested as more reliable in the estimation of the maximum surface displacement, maximum surface rupture length and associated with the maximum credible earthquakes for different areas of Iran. Furthermore, obtained relationships can be statistically significant for the assessment of seismic, tectonic and geologic activities, and they can be used to evaluate the rupture hazard of the Iranian Plateau.
AtıfScopus2WoS2OpenAlex2İncele - KitapYalnız künye2020From Efficiency Discussions to Democracy in Public Administration: A Theoretical Analysis
Dogan, Kadir Caner; Ugur, Omer
This book aims to focus on the final stage of theoretical approaches in discipline, especially after the 1980s, due to the paradigm shift from efficiency in public administration to democracy.
- MakaleYalnız künye2020Scopus SJRQ2Validating InSAR-SBAS results by means of different GNSS analysis techniques in medium- and high-grade deformation areas
Yalvac, Sefa
This study aimed to validate the interferometric synthetic aperture radar (InSAR) method by using relative and absolute Global Navigation Satellite System (GNSS) techniques. In this context, two land subsidence areas, one high (Mexico City) and one medium (Aguascalientes), were monitored between 2014 and 2018 by using Sentinel 1A satellite data. The monitoring was carried out with the Small Baseline Subset (SBAS) technique using 46 images for Mexico City and 18 images for Aguascalientes. Concordantly, the GNSS Continuously Operating Reference Station (CORS) data in the regions were analyzed with relative and Precise Point Positioning (PPP) GNSS analysis techniques. The time series obtained from three different analyses were compared and the results were evaluated in light of statistical criteria. According to the results, it is determined that the InSAR-SBAS technique can vary up to ± 20 mm from the displacement values obtained from GNSS due to various noise sources. Such deviations were limited to a few samples, and in general the differentiations were reasonable in the range of 7–8 mm. The difference between the deformation velocity estimation results obtained from the three different methods varied between 3 and 10 mm/year. In this context, these findings suggest that the InSAR-SBAS technique is an effective method for monitoring land deformation with the accuracy of sub-centimeter decided. In addition, PPP which has become an increasingly popular technique showed fast and reliable results in the range of 5–10 mm for InSAR verification. Moreover, with this study, most current results for Mexico City, which is the world’s fastest subsiding metropole, were achieved. In the central region of the city, the detected 300 mm/year of subsidence rate was updated as 370 mm/year. In addition, Aguascalientes was monitored by using the Sentinel 1A satellite mission for the first time in this study. The 60 mm/year subsidence rate obtained for Aguascalientes in previous studies was updated and it was estimated that there are zones where this rate reaches up to − 115 mm/year levels. In this regard, it was concluded that the deformation rate has increased for both regions since the previous monitoring studies.
AtıfScopus60WoS53OpenAlex62İncele - MakaleAçık Erişim2020Scopus SJRQ2Multi-criteria decision making approach based on PROMETHEE with probabilistic simplified neutrosophic sets
Altun, Fatma; Şahin, Rıdvan; Güler, Coşkun
Probabilistic simplified neutrosophic set (PSNS) is an important tool to describe the vagueness existing in the real life. In this study, we define a PSNS and discuss some of theoretical set operations of PSNSs. Also we propose the concepts of module on PSNSs, as well as inner product and projection operator between two PSNSs. In relation to this new set, we introduce a probabilistic simplified neutrosophic number (PSNN). A PSNN has three components which is called probabilistic-valued truth membership degree, probabilistic-valued indeterminacy membership degree and probabilistic-valued falsity membership degree, respectively. We give some of algebraic operational rules, a score function and an accuracy function on PSNNs. Furthermore, we introduce two aggregation operators called the probabilistic simplified neutrosophic weighted arithmetic average operator and the probabilistic simplified weighted geometric average operator on PSNNs. Furthermore, we determine weights of criteria with a method that is based on fuzzy measure and develop a method based on preference function to determine weight of each decision maker. We present an extended PROMETHEE method based on PSNSs for group decision problems. Finally, as an application of this theory, we give a practice on a multi-criteria group decision making problem based on PSNNs by using extended PROMETHEE method to ensure stability of the proposed method.
AtıfScopus40WoS18OpenAlex28İncele - MakaleAçık Erişim2020Scopus SJRQ4The mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety; [Algılanan COVID-19 tehdidi ve ölüm kaygısı arasındaki ilişkide öz şefkatin aracı rolü]
Kavaklı, Mehmet; Ak, Mehmet; Uğuz, Faruk; Türkmen, Osman Oğulcan
Objective: The COVID-19 pandemic is a new and highly detrimental event that has influenced the world over. Besides the obvious health risks, COVID-19 has also affected people psychologically. The high risk of contamination can increase the perceived COVID-19 threat and death anxiety in individuals. The aim of the present study was to investigate the mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety. Additionally, the study also investigated the role of gender, profession and income level in the perceived COVID-19 threat and death anxiety. Method: The research sample was composed of 562 individuals from the community. The data was gathered by using personal information form and the Perceived COVID-19 Threat Form, Self-Compassion Scale and Turkish Death Anxiety Scale. Results: The relationship between perceived COVID-19 threat and death anxiety was partially mediated by self-compassion. Moreover, people in the high income group had a lower level of perceived COVID-19 threat and death anxiety score compared to the low-income group. Perceived COVID-19 threat levels were lower among health care professionals compared to unemployed individuals. Female participants had a higher level of perceived COVID-19 threat and death anxiety score compared to male participants. Discussion: Self-compassion may be an essential variable to help cope with problems related to perceived COVID-19 threat and death anxiety. Improving our understanding of the psychological impacts of COVID-19 is necessary and essential.
AtıfScopus57WoS56OpenAlex41TR Dizin23İncele - Kitap BölümüYalnız künye2020Multilevel governance and participation mechanisms in European Union
Kalkisim, Hasan Mahmut
- BildiriYalnız künye2020Nine Years Long Term Performance and Degradation Assessment of Two On-Grid PV Systems
Ozden, Talat; Ozgun, Ensar Mesut; Keles, Bedirhan; Akinoglu, Bulent G.
Nine years outdoor testing of the two on-grid PV systems at Central Anatolia under the same ambient conditions is very important to be discovered toward transition to renewables. The systems consist of a monocrystalline silicon and micro-crystalline silicon based amorphous thin film PV technologies. The analyses are carried out on monthly based using the outdoor efficiencies. In addition, degradation rates of these systems are calculated and compared with each other and also with international literature. It is also compared the results using the degradation rates of an earlier study carried out using measurements of a shorter period of time.
AtıfScopus3OpenAlex2İncele - MakaleYalnız künye2020Scopus SJRQ4Macroeconomic Dynamics of Labour Income Share in the United States: Evidence From MARS
Çelik, Orkun
Macroeconomic dynamics of labour income share (will be referred to herein as lis) in the United States for the period of 1948Q1-2019Q1 are tried to be determined in this study, where Multivariate Adaptive Regression Splines (will be referred to herein as MARS) approach is employed. In order to investigate sectoral differences, the business, non-farm, and non-finance sectors are evaluated, respectively. In accordance with the obtained results, it may be observed that the macroeconomic dynamics of lis in the business sector are productivity, export, profit, gross private domestic investment, unemployment rate, current account balance, gross domestic product, and tax revenue, respectively. Related macroeconomic dynamics of lis concerning non-farm sector are productivity, current account balance, gross private domestic investment, export, consumer price index, gross domestic product, profit, unemployment rate, and gross government investment. Aforementioned dynamics for non-finance sector are also profit, productivity, import, gross domestic product, tax revenue, gross government investment, consumer price index, and unemployment rate. In accordance with this, the most significant dynamic with respect to lis is profit in the non-finance sector, while it is productivity in the business and non-farm sectors.
- MakaleYalnız künye2020Scopus SJRQ1Effects of Mn Content on Microstructure, Mechanical and Dry Sliding Wear Properties of Eutectic Al–Si–Cu Alloy
Alemdag, Yasin; Beder, Murat
Abstract: In the present study, effects of Mn content on microstructure, hardness, tensile and dry sliding wear properties of eutectic Al–Si–Cu alloy in as cast-state were investigated. Mn addition to the eutectic alloy results in the formation of α-Al15Mn3Si2 phase in its microstructure. It was found that hardness of eutectic alloy increases continuously with increasing Mn content while its tensile strength and percentage elongation values decrease. It was also found that the friction coefficient and volume loss of eutectic alloy decrease as Mn content increases. Amongst the alloys, the lowest friction coefficient is obtained with Al–12Si–3Cu–2Mn alloy yet the Al–12Si–3Cu–1Mn alloy exhibits the highest wear resistance. Formation of adhesion layer, its oxidation and delamination were observed to be main wear mechanisms of Al–12Si–3Cu–(0–2)Mn alloys. These findings are explained in terms of formation of α-Al15Mn3Si2 phase, and its cracking tendency effect. Graphic abstract: [Figure not available: see fulltext.].
AtıfScopus19WoS19OpenAlex19İncele - MakaleYalnız künye2020Scopus SJRQ3Food label reading habits of health sciences students
Odaman, Tayyibe Ayşe; Bahar, Rabia; Şam, Sedanur; Ilyasoğlu, Huri
Purpose: The purpose of this study is to determine the food label reading habits of health sciences students. Design/methodology/approach: The data were collected through a face-to-face survey with voluntary students (n: 520). The survey questionnaire consisted of three parts to gather information about their demographic and anthropometric characteristics and food label reading habits. Chi-squared test and Pearson correlation analysis were used to analyze the data. Findings: The health sciences students mostly read the food name, expiration date and ingredients on the food labels. However, they paid less attention to the nutrient contents, such as the fat type and carbohydrate, cholesterol, sugar, fiber and salt amounts. The female students paid more attention to the nutrient contents than the male students. Moreover, the Nutrition and Dietetics students paid more attention to the nutrient contents than the other students. Significant negative correlations were found between the carbohydrate, protein and fat amount reading habits and both the body mass index (p = 0.005, p = 0.001 and p < 0.001) and waist to height ratio (p = 0.040, p = 0.005 and p = 0.022). Research limitations/implications: This study does not allow one to draw conclusions for all university students. Originality/value: This study is first such study performed among health sciences students in Turkey.
AtıfScopus7WoS7OpenAlex8İncele - Kitap BölümüYalnız künye2020From bureaucracy to governance: Transition from centralism to localism in public administration
Cakir, Canan
- MakaleYalnız künye2020Scopus SJRQ1Evaluating the feasibility of blockchain in logistics operations: A decision framework
Ar, Ilker Murat; Erol, Ismail; Peker, Iskender; Ozdemir, Ali Ihsan; Medeni, Tunc Durmus; Medeni, Ihsan Tolga
The main purpose of this study is to investigate the feasibility of blockchain technology in logistics industry using a quantitative approach. To this end, a decision framework is proposed based on a multi-criteria decision structure that incorporates AHP into VIKOR under Intuitionistic Fuzzy Theory. This integration presents different solutions and rankings based on different decision-making strategies and also captures uncertainty in the evaluation process. While Intuitionistic Fuzzy AHP calculates the importance weights of the proposed criteria indicated as scalability, privacy, interoperability, audit, latency, visibility, trust, and security, Fuzzy VIKOR ranks the logistics operations demonstrated as materials handling, warehousing, order processing, transportation, packaging, fleet management, labeling, vehicle routing and product returns management. The proposed decision framework was applied in a large-scale logistics company located in Turkey. The findings of this study suggest that while the most important criteria are security, visibility and audit, the most feasible logistics operations proved to be transportation, materials handling, warehousing, order processing and fleet management in a possible blockchain implementation. The decision framework in this study may enable decision makers to evaluate the feasibility of blockchain in logistics operations, which is one of the main research gaps in the current blockchain research. Furthermore, this is the first study that integrates AHP and VIKOR methods under Intuitionistic Fuzzy Theory in the context of blockchain.
AtıfScopus138WoS106OpenAlex145İncele - MakaleAçık Erişim2020Scopus SJRQ3Educating children through their parents to prevent child sexual abuse in Turkey
Apaydın Cırık, Vildan; Efe, Emine; Velipaşaoğlu, Sevtap
Purpose: The aims of this study were to train parents to recognize and prevent child sexual abuse (CSA); evaluate the problems encountered by parents; and evaluate the overall effectiveness of the CSA training program. Design and Methods: The study used a pretest/posttest design. The study was conducted with a sample of 58 children (aged 3-6 years) and 64 parents. Findings: Children who received CSA prevention education from their parents demonstrated improved knowledge about private parts and about what they should do if they suspect sexual abuse. The parents stated that they encountered some problems (other family members objected to the child being given such training). Practise Implications: Children's risk of abuse may be reduced if their parents teach them about CSA correctly.
AtıfScopus26WoS23OpenAlex36İncele - MakaleYalnız künye2020Scopus SJRQ1A Neutrosophic VIKOR Method-Based Decision-Making with an Improved Distance Measure and Score Function: Case Study of Selection for Renewable Energy Alternatives
Eroğlu, Hasan; Şahin, Ridvan
In this study, a new score and distance function which provides more accurate results than the studies in the literature and considers the decision maker’s cognition has been proposed. In order to show the effects of the new score function coefficients on neutrosophic numbers, a new representation named “4D Plot” has been proposed. VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje which means multicriteria optimization and compromise solution in Serbian) method, which is based on the creation of a conciliatory solution within the framework of alternatives and evaluation criteria, provides highly effective results in multiple criteria decision-making problems. Neutrosophic numbers play an active role in facilitating the decision-making process in many studies. In this context, extension of the classical VIKOR method is introduced in detail in this study. The framework of the extended neutrosophic VIKOR method has been established. The proposed method has been applied to the renewable energy alternative selection problem in Turkey and compared with different methods and different scenarios. It has been shown that the proposed method gives more effective and accurate results. Furthermore, the sensitivity and accuracy of the study are enhanced by a sensitivity analysis. We have extended the classical VIKOR method for SVN numbers with a newly generalized score function and a distance measure. As a novel and newly presentation named “The 4D Plot” has been developed and applied in this paper to SVN numbers for presenting the effect of the new score function. The renewable energy alternative selection was made in Turkey with the proposed method by the opinions of the experts and the ranking of the alternatives was obtained. A sensitivity analysis has been made to show the accuracy and validity of the study. With the proposed distance measure and score function, it is shown that more accurate results can be found in multiple criteria decision-making problems. The model will provide solutions for many soft computing problems such as engineering and economy by finding more effective and accurate results in the neutrosophic number space according to the preference of decision makers. As a future work, the presented functions and framework can be adapted to different MCDM problems.
AtıfScopus50WoS35OpenAlex45İncele