Sürdürülebilir Kalkınma Amaçları
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- MakaleAçık Erişim2025Investigation of the Effect of Risk Perception, Socio-demographic and Obstetric Factors on the Level of Decision-making of Pregnant Women via the Internet: Multiple Linear Regression Analysis Model; [Gebelerin İnternet Yoluyla Karar Alma Düzeyi Üzerine Risk Algısının, Sosyo-demografik ve Obstetrik Faktörlerin Etkisinin İncelenmesi: Çoklu Doğrusal Regresyon Analiz Modeli]
Aktaş, Songül; Topçu, Tuğba Yazıcı; Ay, Özge Palancı; Aydın, Ruveyde
Objective: This study examines the effect of risk perception and socio-demographic and obstetric factors on the level of decision-making of pregnant women via the internet. Method: This study employed a cross-sectional and analytical design and was conducted online with 384 pregnant women living in Turkey. Data were collected using descriptive information forms, such as the decision-making scale via the internet on pregnancy and the perception of pregnancy risk scale. Descriptive statistics, including percentages and means, as well as multiple linear regression analysis, were utilized to analyze the data. Results: As the risk perception in pregnancy increased, the level of decision-making via the internet increased (β=0.118, p=0.000). Among pregnant women experiencing pregnancy-related health issues, a significant increase in decision-making via the internet was observed (β=0.092, p=0.046). As the age of women increased (β=-2.623, p=0.013) and income was perceived to be equal to expenses (β=-1.499, p=0.011) or more than expenses (β=-1.953, p=0.023), decision-making via the internet during pregnancy decreased. Unwanted pregnancy has a “reducing” effect of approximately two times on online decision-making (β=-1.919, p=0.026). The number of pregnancies, education and family type were found to have no statistical effect on decision-making (p>0.05). Conclusion: As the risk perception increases in pregnant women, online decision-making also increases. Factors such as some socio-demographic and obstetric factors affect online decision-making of pregnant women.
- MakaleYalnız künye2018A novel hybrid approach for simplified neutrosophic decision-making with completely unknown weight information
Küçük, Gökçe Dilek; Şahin, Rıdvan
The simplified neutrosophic set (SNS) is a useful model to describe the indeterminacy information which widely exists in the real world. In this paper, we develop a multicriteria decision-making (MCDM) method under simplified neutrosophic environment in which the information about weights of criteria is completely unknown, and the decision criterion values take the form of simplified neutrosophic numbers (SNNs). In order to determine the weighting vector of the criteria, we establish an optimization model based on the basic ideal of the traditional gray relational analysis (GRA) method. By solving this model, we get a simple and exact formula which can be used to determine the criterion weights. Moreover, we utilize the dice similarity measure to determine the similarity measures between each alternative decision and the related ideal decisions. Then, based on the traditional GRA method and the technique for order preference by similarity to ideal solution (TOPSIS), some calculation steps are presented for solving a simplified neutrosophic multicriteria decision-making problem with completely unknown weight information. To avoid information loss, this model does not use the aggregation process of decision information. Comparisons of the suggested methodology with other methods are also made. Finally, a numerical example and an experimental analysis are proposed to illustrate the application of the proposed model.