Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(86)
- Güler, Ömer(69)
- Akkurt, Nevzat(68)
- Baskonus, Haci Mehmet(53)
- Tekin, H.O.(52)
- Bulut, Hasan(50)
- ALMisned, Ghada(49)
- Serdar, Osman(43)
- Yucesan, Melih(43)
- Paksoy, Mehmet Yavuz(42)
- Yildirim, Numan(41)
- Zengin, Gokhan(40)
- Yildirim, Nuran Cikcikoglu(39)
- Ince, Muharrem(37)
- Kocabaş, Mehmet(37)
- Celik, Erkan(35)
- Benzer, Fulya(33)
- Sulaiman, Tukur Abdulkadir(29)
- Aslan, Naim(27)
- Can, Erkan(27)
- Kutlu, Banu(27)
- Kök, Mediha(27)
- Tanyol, Mehtap(27)
- Danabas, Durali(26)
- Kutluyer, Filiz(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Yildirim, Ozal(25)
- Onat, Onur(23)
- Topal, Murat(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Yaman, Mehmet(22)
- Alataş, Mevlüt(21)
- Güler, Seval Hale(21)
- Çimen, Okay(21)
- Baykal, Duygu Sen(20)
- Mete, Suleyman(20)
Yayınlar
- MakaleYalnız künye2019Scopus SJRQ3Bio-functions of carvacrol-supplemented feeds on lipopolysaccharide-induced rainbow trout (Oncorhynchus mykiss Walbaum, 1792)
Kucukgul, A.; Gulsafak, I
To investigate the effects of carvacrol supplementation in rainbow trout induced by lipopolysaccharide (LPS), relative gene expressions levels of some pro-inflammatory cytokines and apoptosis markers in kidney and liver were measured. Fish with a mean weight of 44.71 +/- 1.33 g were studied using four different treatments with three replicates each. Inflammation and apoptosis were performed using LPS of Escherichia coli (25 mu g ml(-1)) except in the control group and only carvacrol (100 mu g ml(-1) diet) containing diets were fed to this group (CAR). The last group was the infected fish fed carvacrol supplemented diet (+CAR). Kidney and liver tissues were removed 3 days after to determine the levels of interleukin-1 beta (IL-1 beta), interferon gamma (INF-gamma), caspase 3 (Cas 3), caspase 8 (Cas 8) using Real-Time PCR analyses. IL-1 beta expressions of both kidney and liver was significantly decreased (12.9 and 2.14 fold, respectively) in LPS treated cells (p<0.05). While IFN-gamma expression was up regulated in kidney, it had down regulation in liver. LPS decreased both Cas 3 and 8 expressions in kidney but increased in liver. +CAR increased expressions of IL-1 beta and IFN-gamma compared with the control (up to 2-3 fold) in all tissues except caspase gene expressions that were similar in the control. In all tissues, IL-1 beta and IFN-gamma expressions increased in +CAR group, expect IFN-gamma in the kidney. However, Cas 3 and 8 expressions including apoptosis was induced by up-down regulations in all tissues compared to LPS-injected fish. The results showed that carvacrol had pro-inflammatory and apoptotic effects especially on liver tissue of LPS-induced inflammation model of Oncorhynchus mykiss.
AtıfWoS4OpenAlex3
İncele - MakaleYalnız künye2019Scopus SJRQ2An ethnobotanical survey of medicinal plants in Karliova (Bingol-Turkey)
Nadiroglu, Muharrem; Behçet, Lutfi; Çakilcioglu, Ugur
This study aims to identify wild plants collected for medical purposes by the local people of Karliova District located in the Eastern Anatolia region of Turkey and to determine the uses and local names of these plants. A field study had been carried out for a period of approximately 4 years (2013-2016). During this period, 99 vascular plant specimens were collected. Among them, 91 species are wild and 8 species are cultivated plants. Demographic characteristics of participants, names of the local plants, their utilized parts and preparation methods were investigated and recorded. 99 plants were found to be used for medical purposes before in the literature analysis of the plants used in our study, while 9 plants were found to have no literature records. In Turkey, local plant names display differences especially due to local dialects. The plants used in Karliova are known by the same or different local names in various parts of Anatolia. In the research area, local people were found to use 99 plants from 26 families for curative purposes. The medicinal uses of Stenotaenia macrocarpa Freyn & Sint., Inula helenium L., Scorzonera incisa DC., Tripleurospermum caucasicum (Willd.) Hayek, Astragalus chamaephaca Freyn, Geranium libanoticum Schenk, Rhinanthus serotinus subsp. aestivalis (N.W.Zinger) Dostal, Verbascum songaricum Schrenk. and Bunium elegans (Fenzl) Freyn that we found were used in our study area and recorded for the first time. These plants, used for the treatment of various diseases, are abundantly found in this region. Drying of the medicinal plants enabled the local people to use them in every season of the year.
AtıfWoS40İncele - MakaleAçık Erişim2019The Predictive Power of Teachers' Proactive Personality Traits on Their Problem Solving Skills
Sener, Gonul
In this research, it was aimed to determine the level of teachers' proactive personality traits predicting the problem-solving skills consisting of the sub-dimensions of confidence in problem-solving ability, personal control and approach-avoidance. The relational screening model was used in this research which was prepared in accordance with the quantitative research paradigm. Accordingly, the concept of proactive personality was discussed as an independent variable, and problem solving skills were discussed as dependent variables. It is seen that there is a positive and significant relationship between teachers' proactive personality traits and problem solving skills and confidence in problem-solving ability, approach-avoidance and personal control, which are the sub-dimensions of problem solving. Based on the ANOVA values are examined for all three sub-dimensions, it could be said that the value p is significant, in other words, the regression model is valid. According to the t-test results regarding the significance of the regression coefficients, it is seen that proactive personality traits are a significant predictor on the sub-dimensions of confidence in problem solving ability, approach-avoidance and personal control. Furthermore, according to Durbin-Watson values for all sub-dimensions, the assumption that there is no relationship between error terms is confirmed.
AtıfWoS1OpenAlex4İncele - MakaleAçık Erişim2019Age and some growth parameters of Squalius cephalus (Linnaeus, 1758) inhabiting Karasu River (East Anatolia, Turkey)
Özcan, Ebru Ifakat; Serdar, Osman
The present study was carried out concerns a research of the age determination and some growth parameters of chub, Squalius cephalus (Linnaeus, 1758) living in 14 different station from Karasu River (East Anatolia, Turkey). For this purpose, a total of 196 fish specimen (100 females and 96 males) of S.cephalus were captured between 2014 and 2016 by electroshocker. Female/male ratio was 1/0.96. Minimum-maximum length and weight of captured fishes were determined as 7.6-23.9 cm and 4.8-198.2 g, respectively. The age groups were determined between 0 and 6. The parameters of von Bertalanffy growth function estimated as L-infinity=31.98 cm, k=0.136 year(-1), t(0)=-1.40 year for all individuals. The growth performance index (phi>) value was computed as 2.143. The length and weight relationships W=0.0060L(3.27) (R-2=0.98) for all individuals. Significant statistical differences in condition factors between age groups and sexes were not found (P > 0.05, t-test).
AtıfWoS1OpenAlex3TR Dizin5
İncele - MakaleYalnız künye2019Scopus SJRQ4CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION
Baloglu, Ulas Baran; Yildirim, Ozal
Background and objective: Deep learning structures have recently achieved remarkable success in the field of machine learning. Convolutional neural networks (CNN) in image processing and long-short term memory (LSTM) in the time-series analysis are commonly used deep learning algorithms. Healthcare applications of deep learning algorithms provide important contributions for computer-aided diagnosis research. In this study, convolutional long-short term memory (CLSTM) network was used for automatic classification of EEG signals and automatic seizure detection. Methods: A new nine-layer deep network model consisting of convolutional and LSTM layers was designed. The signals processed in the convolutional layers were given as an input to the LSTM network whose outputs were processed in densely connected neural network layers. The EEG data is appropriate for a model having 1-D convolution layers. A bidirectional model was employed in the LSTM layer. Results: Bonn University EEG database with five different datasets was used for experimental studies. In this database, each dataset contains 23.6 s duration 100 single channel EEG segments which consist of 4097 dimensional samples (173.61 Hz). Eight two-class and three three-class clinical scenarios were examined. When the experimental results were evaluated, it was seen that the proposed model had high accuracy on both binary and ternary classification tasks. Conclusions: The proposed end-to-end learning structure showed a good performance without using any hand-crafted feature extraction or shallow classifiers to detect the seizures. The model does not require filtering, and also automatically learns to filter the input as well. As a result, the proposed model can process long duration EEG signals without applying segmentation, and can detect epileptic seizures automatically by using the correlation of ictal and interictal signals of raw data.
AtıfWoS17OpenAlex19İncele - MakaleAçık Erişim2019Scopus SJRQ2Neogene volcanism in Elazig-Tunceli area (eastern Anatolia): geochronological and petrological constraints
Agostini, Samuele; Savasçin, Mehmet Yilmaz; Di Giuseppe, Paolo; Di Stefano, Flavio; Karaoglu, Ozgur; Lustrino, Michele; Manetti, Piero; Ersoy, Yalcin; Kürüm, Sevcan; Önal, Ayten Oztufekci
AtıfOpenAlex15İncele - MakaleYalnız künye2019Scopus SJRQ1Quality characteristics of pomegranate juice concentrates produced by ohmic heating assisted vacuum evaporation
Sabanci, Serdal; Cevik, Mutlu; Cokgezme, Omer F.; Yildiz, Hasan; Icier, Filiz
AtıfOpenAlex48
İncele - MakaleAçık Erişim2019Scopus SJRQ3A Novel Study: The Effect of Graphene Oxide on the Morphology, Crystal Structure, Optical and Electrical Properties of Lanthanum Ferrite Based Nano Electroceramics Synthesized by Hydrothermal Method
Aydin, Cihat; Aydin, Handan; Taskin, Mustafa; Yakuphanoglu, Fahrettin
AtıfOpenAlex19İncele - MakaleAçık Erişim2019Scopus SJRQ4MICROMORPHOLOGICAL AND ANATOMICAL INVESTIGATION ON SIX SPECIES OF ONOSMA L. (BORAGINACEAE) FROM TURKEY
Selvi, Selami; Polat, Ridvan; Babacan, Ebru Yuce; Rahman, M. Oliur; Çakilcioglu, Ugur
Micromorphology and anatomy of six Onosma L. species, viz. O. argentata Hub.Mor., O. neglecta Riedl, O. proballanthera Rech. f, O. rechingeri Riedl, O. sericea Willd. and O. stenoloba Hausskn. ex Riedl from Turky were investigated. Stem anatomy revealed that cuticle layer ranged from 0.6 mu m in O. argentata to 1.7 mu m in O. proballanthera. Parenchymatous cells of O. neglecta and O. stenoloba possessed more intense starch than the other species studied. In leaf anatomy, the longest palisade parenchyma was found in O. neglecta, while the smallest was noted in O. argentata. Mesophyll structure of O. argentata, O. sericea and O. rechingeri was equifacial (isobilateral), while O. neglecta, O. proballanthera and O. stenoloba presented bifacial (dorsiventral) structure. Rugose nutlet ornamentation was observed in O. argentata, O. neglecta and O. sericea, whereas reticulate type was found in O. proballanthera, O. rechingeri and O. stenoloba. Onosma stenoloba could easily be distinguished from other species by its aesterotrichous indumentum, and in contrary, other species possessed haplotrichous type of indumentum. Micromorphological features of nutlet surface, anatomical features of epidermal surface (trichomes and stomata), and lamina mesophyll structure (dorsiventral and isobilateral) could be useful in solving taxonomic problem of the genus.
AtıfWoS7OpenAlex12İncele - MakaleYalnız künye2019Scopus SJRQ2Geometry and Paleoseismology of the Malatya Fault (Malatya-Ovack Fault Zone), Eastern Turkey: Implications for intraplate deformation of the Anatolian Scholle
Sançar, Taylan; Zabci, Cengiz; Karabacak, Volkan; Yazici, Muge; Akyüz, H. Serdar
The sinistral Malatya-Ovack Fault Zone (MOFZ) is one of the outstanding intraplate deformation belts within Anatolia. The 165-km-long, NE-SW-striking Malatya Fault (MF), which constitutes the southern section of the MOFZ, is separated into five segments according to its surface geometry. These segments have evident morphotectonic features that reflect long- and short-term fault activity, such as morphologic structures offset by as little as 7m and as much as 7.3km. This study provides results from the first paleoseismological investigations on the MF. We find that the last earthquake occurred between 965 and 549 BCE and calculate a recurrence interval of 2275 +/- 605years from evidence for four paleo-events over the last 10ka. Considering fault segmentation and our paleoseismological data, we propose that the accumulated strain on the MF may cause a destructive earthquake (M=7.4) in the near future. Our results support the hypotheses that the MF and other NW-striking dextral and NE-striking sinistral strike-slip faults within the eastern part of Anatolia are plate boundary-related, active deformational structures.
AtıfWoS19OpenAlex29İncele - MakaleAçık Erişim2019Scopus SJRQ2Grape seed extract supplement increases bone callus formation and mechanical strength: an animal study
Gurger, Murat; Yilmaz, Erhan; Yilmaz, Seval; Once, Gokhan; Konuk, Mustafa; Kaya, Emre; Say, Yakup; Artas, Gokhan; Artas, Hakan
BackgroundThe positive effects of grape seed proanthocyanidin extract (GSPE) on bone health, which is a potent antioxidant, are known but its effects on fracture healing are not sufficiently covered in the literature. This study aims to investigate the effects of GSPE on fracture healing and biomechanics of healing bone.Materials and methodsSixty-four adult Wistar-Albino male rats were divided into 8 groups of 8 animals in each group. Osteotomy was performed to the right femurs of all groups except the negative control (G1) and positive control (G2) groups, and intramedullary Kirchner wire was used for fixation. GSPE was given to half of the rats (G2-G4-G6-G8) 100mg/kg/day by oral gavage. The rats were sacrificed on the tenth (G3-G4), twentieth (G5-G6), and thirtieth (G1-G2-G7-G8) days, respectively, and histopathological, radiological, and biomechanical examinations were performed.ResultsHistopathological examination of the specimens from the callus tissues revealed that bone healing was more prominent in the groups supplemented with GSPE (G4, G6, G8). There was a statistically significant improvement in radiological recovery scores and callus volumes in groups with GSPE. When biomechanical strengths were evaluated, it was found that GSPE increased bone strength not only in fracture groups but also in the positive control group (G2).ConclusionsAs a result, this study showed that GSPE, a potent anti-oxidant, had a positive effect on bone healing and improved mechanical strength of the healing bone.
AtıfWoS10OpenAlex12İncele - MakaleAçık Erişim2019Public transportation graph: A graph theoretical model of public transportation network for efficient trip planning
Serin, Faruk; Mete, Suleyman
The presentation and usage of traditional graphs is very important for effective and fast solution of routing in public transportation. However, the traditional graph approach is unable to consider the passenger requests such as total travel time, minimum number of transfer and total distance of travel without pre-processing and/or post-processing. Moreover, the vehicles are not represented on traditional graph. In this paper, after analyzing the different kind of graphs, we propose a novel graph named as public transportation graph. The proposed graph models the public transportation system and considers distance, waiting time, travel time, self-transportation and number of transfers simultaneously for efficient trip planning. In this way, passenger requests can be met without pre-processing and post-processing. In addition, the vehicles are also considered and demonstrated in the proposed graph.
AtıfWoS1OpenAlex4TR Dizin1İncele - MakaleYalnız künye2019Scopus SJRQ4MICROMORPHOLOGICAL AND ANATOMICAL INVESTIGATIONS ON CONRINGIA HEIST. EX FABR.
Selvi, Selami; Aladi, Hatice Inci; Paksoy, Mehmet Yavuz
The micromorphological and anatomical investigations on 6 taxa of Conringia Heist. ex Fabr. growing in Turkey were carried out. The anatomy of root, stem and leaves was examined in detail. In micromorphological studies stem and leaf surface of species was examined. Mesophyll type of lamina is dorsiventral (Conringia planisiliqua, C. persica, C. austriaca) and equifacial (C. clavata, C.grandiflora, C. orientalis). Stomata situated on both surfaces, are anisocytic and rarely anomocytic types. Crystals of calcium oxalate observed in only one species (C. grandiflora) was found to have cubic type parenchyma cells of the stem and leaf In micromorphological studies the surface of the stem and leaves were found to be glabrous. Epidermal surface of leaves was observed to be covered with waxy cuticular particles. Anticlinal walls of the adaxial cells are undulate and rarely straight and anticlinal walls of abaxial epidermis are undulate and rarely sinuate. Periclinal walls were found to be covered with upper waxy layer which was flat. A diagnostic key based on combined stem, leaf and leaf epidermal characteristics are presented. The leaf mesophyll structures, stem vascular bundles number, lignified or unlignified of sclerenchyma, epidermal surface and absence or presence of crystals were found to be important characters for the identification of Conringia species.
AtıfWoS1İncele - MakaleYalnız künye2019Scopus SJRQ4Application of response surface methodological approach to optimize removal of Cr ions from industrial wastewater
Ince, Muharrem; Ince, Olcay Kaplan
In the present study, the adsorption of chromium (Cr) onto clay using response surface methodology (RSM) was investigated as an efficient approach for examining predictive model building and optimization. To optimize experimental variables and predictive regression models, statistical design models were carried out. A five-level four-fac-tor central composite design (CCD) combined with RSM was performed with synthetic aqueous solutions on natural clay. The experimental variables included pH and agitation speed and were selected for optimization. The Cr ions ideal removal conditions were obtained using pH 5.0, contact time 23.0 minutes, adsorbent dosage of 69.4 mg, and agitation speed of 135 rpm. Chromium removal efficiency was found at 23.16 mg g-1. The independent variables significance and their interactions were verified by means of the analysis of variance (ANOVA). These results were justified by the relatively high correlation coefficients (R2 = 0.9902) of the statistical prediction. Clay and Cr loaded clay were characterized by X-ray dif-fractometer (XRD) and energy dispersive spectroscopy (EDS). The proposed adsorption process efficiently removed the Cr ions present in various aqueous media and was also applied to various industrial wastewaters.
AtıfScopus5
İncele - MakaleYalnız künye2019Scopus SJRQ2The effect of dimethoate pesticide on some biochemical biomarkers in Gammarus pulex
Serdar, Osman
In this presented study, it was aimed to determine the effects of pesticides on non-target organisms on the freshwater amphipod, Gammarus pulex, by biochemical responses. Acute toxicity value (LC50) in G. pulex of the dimethoate pesticide was determined. The superoxide dismutase (SOD), glutathione S-transferaz (GST), glutathione peroxidase (GPx), and catalase (CAT) activities and malondialdehyde (MDA), glutathione (GSH) levels of the G. pulex organism exposed to the subletal concentrations were analyzed by ELISA for 24 and 96 h. In conclusion, the present study demonstrated the abilities of dimethoate pesticide induce to oxidative stress. The results revealed that MDA, GSH levels SOD, CAT, GPx, and GST activities of G. pulex can be used as an effective biomarkers.
AtıfScopus47WoS43OpenAlex59İncele - MakaleYalnız künye2019Scopus SJRQ3Regp: A new pooling algorithm for deep convolutional neural networks
Yildirim, O.; Baloglrf, U.B.
In this paper, we propose a new pooling method for deep convolu-tional neural networks. Previously introduced pooling methods either have very simple assumptions or they depend on stochastic events. Different from those methods, RegP pooling intensely investigates the input data. The main idea of this approach is finding the most distinguishing parts in regions of the input by investigating neighborhood regions to construct the pooled representation. RegP pooling improves the efficiency of the learning process, which is clearly visible in the experimental results. Further, the proposed pooling method outperformed other widely used hand-crafted pooling methods on several benchmark datasets.
AtıfScopus8WoS6OpenAlex9İncele - MakaleYalnız künye2019Scopus SJRQ1Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Baloglu, Ulas Baran; Talo, Muhammed; Yildirim, Ozal; Tan, Ru San; Acharya, U Rajendra
Myocardial infarction (MI), commonly known as heart attack, causes irreversible damage to heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to avoid death. Blood tests and electrocardiogram (ECG) signals are used to diagnose acute MI. However, for an increase in blood enzyme values, a certain time must pass after the attack. This time lag may delay MI diagnosis. Hence, ECG diagnosis is still very important. Manual ECG interpretation requires expertise and is prone to inter-observer variability. Therefore, computer aided diagnosis may be useful in automatic detection of MI on ECG. In this study, a deep learning model with an end-to-end structure on the standard 12-lead ECG signal for the diagnosis of MI is proposed. For this purpose, the most commonly used technique, convolutional neural network (CNN) is used. Our trained CNN model with the proposed architecture yielded impressive accuracy and sensitivity performance over 99.00% for MI diagnosis on all ECG lead signals. Thus, the proposed model has the potential to provide high performance on MI detection which can be used in wearable technologies and intensive care units.
AtıfScopus457OpenAlex476İncele - MakaleAçık Erişim2019AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis
Ak, M. Fatih; Gul, Muhammet
Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is applied to several areas from manufacturing to information technology. With the widespread use of computer networks and the Internet, information security has become very important. Information security is vital as institutions are mostly dependent on information, technology, and systems. This requires a comprehensive and effective implementation of information security RA. Analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are commonly used MADM methods and recently used for RA. In this study, a new RA methodology is proposed based on AHP–TOPSIS integration extended with Pythagorean fuzzy sets. AHP strengthened by interval-valued Pythagorean fuzzy numbers is used to weigh risk parameters with expert judgment. Then, TOPSIS with Pythagorean fuzzy numbers is used to prioritize previously identified risks. A comparison of the proposed approach with three approaches (classical RA method, Pythagorean fuzzy VIKOR and Pythagorean fuzzy MOORA) is also provided. To illustrate the feasibility and practicality of the proposed approach, a case study for information security RA in corrugated cardboard sector is executed.
AtıfScopus152WoS128OpenAlex167İncele - MakaleYalnız künye2019Scopus SJRQ2Tsallis holographic dark energy in Bianchi type-III spacetime with scalar fields
Korunur, Murat
In this paper, we study one of the new dark energy models named Tsallis holographic dark energy (THDE) model considering the Bianchi type-III spacetime model. Considering deceleration parameter, transition from deceleration to acceleration phase happens at z = 0.256. The equation of state (EoS) parameter has been found using the Granda-Oliveros (GO) scale. It is found that for > 2 values, EoS parameter behaves like the quintessence era; for < 2, EoS parameter behaves like the phantom dark energy and approaches CDM model at late-time cosmic acceleration phase. Also, we reconstructed a correspondence between THDE model and some well-known scalar fields, such as tachyon, quintessence and K-essence. In addition, we evaluated equation of state parameter, kinetic energy and scalar potential versus time.
AtıfScopus28WoS28OpenAlex29İncele - MakaleYalnız künye2019Scopus SJRQ2A fuzzy-based model for risk assessment of routes in oil transportation
Gul, M.; Guneri, A.F.; Nasirli, S. Miralp
The transportation of oil is the final step that the oil is taken before it is distributed to consumer. Road transport is a type of oil transportation methods, and transfers between facilities of primary and secondary bases are carried out by tanker trucks. A particular advantage of tanker trucks is that they provide direct travel from the source to the destination. However, road transport involves possible hazards for population and environment. At this point, this study presents a fuzzy-based risk assessment model for the routes in an oil transportation company. Fuzzy analytic hierarchy process, which is a commonly used multi-criteria decision-making method, is applied in weighting nine criteria related to the road characteristics. Then, risk scores for eleven different routes which the tanker trucks of the company followed are determined by using a basic multi-criteria scoring method. Results of the case study emerge that the most important criterion is narrow road. The riskiest route for the company has been determined. In order to reduce risks to an acceptable level, a number of control measures are suggested such as to assign experienced drivers for this route, provide regular training for drivers, make regular vehicle maintenance and transport large quantities at one time as possible. To demonstrate validity, a comparison is also provided between the proposed approach and Pythagorean fuzzy analytic hierarchy process-based risk scoring model. In conclusion, this study contributes to the applicability of fuzzy analytic hierarchy process to assess riskiness for routes in oil transportation.
AtıfScopus36WoS28OpenAlex46İncele