Results 71 to 80 of about 9,682 (310)
Fuzzy linguistic model for evaluating the risk of neonatal death [PDF]
OBJECTIVE: To introduce a fuzzy linguistic model for evaluating the risk of neonatal death. METHODS: The study is based on the fuzziness of the variables newborn birth weight and gestational age at delivery. The inference used was Mamdani's method. Neonatologists were interviewed to estimate the risk of neonatal death under certain conditions and to ...
Nascimento, Luiz Fernando C +1 more
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Abstract This paper explores how history teachers in secondary education in England (a) see their role as assessors and (b) how they make decisions about assessing a difficult history: learning about the Holocaust. Assessment literacy (AL) is recognised as a potentially valuable aspect of good teaching and central to supporting students' learning ...
Mary Richardson +3 more
wiley +1 more source
Considering the advantages of trapezoid fuzzy two-dimensional linguistic variables (TrF2DLVs), which can not only accurately describe the qualitative evaluation but also use qualitative linguistic variables (LVs) to describe the confidence level of this ...
Ye Li, Yisheng Liu
doaj +1 more source
Capturing multi-stage fuzzy uncertainties in hybrid system dynamics and agent-based models for enhancing policy implementation in health systems research. [PDF]
In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking, syringe ...
Shiyong Liu +3 more
doaj +1 more source
Abstract This paper analyses differences in academic achievement associated with attendance at publicly funded private schools and public schools across 11 European countries. Using eight waves of PISA data (2000–2022), we apply OLS, IPW and IPWRA estimators to account for observed heterogeneity and mitigate selection bias.
Priya Maurya +2 more
wiley +1 more source
Linguistic model identificationfor fuzzy system
A simple identification method that realises fuzzy modelling using the input and output data pairs of a system is developed. The proposed method consists of two parts: one is to find the suitable number of rules and the other is to identify the parameters of fuzzy inference rules.
Y.H. Joo, H.S. Hwang, K.B. Kim, K.B. Woo
openaire +1 more source
Migrant success in UK Education: Are there lessons for government social mobility policy?
Abstract The school achievement and career aspirations of 23 sixth form students at a multi‐cultural urban academy in the UK are explored through interviews. The sample includes 16 s‐generation migrants, 6 UK‐born students with migrant parents and 1 UK‐born student, selected to represent a cohort of over 300 post‐16 learners.
Bernard Barker, Kate Hoskins
wiley +1 more source
A Fuzzy linguistic multi-agent model based on Semantic Web technologies [PDF]
The Internet harbours a vast amount of information that does not cease to grow exponentially. To avoid arriving to a situation of collapse, the actual model of Web needs to incorporate tools capable to handle and manage efficiently this huge quantity of ...
Herrera-Viedma, Enrique +2 more
core
The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipolarity
Ubaid ur Rehman +3 more
doaj +1 more source
Monotonicity aspects of linguistic fuzzy models.
Their interpretable model structure sets linguistic fuzzy m models apart from other modelling techniques and is considered their greatest asset. Therefore, in the identification process of a linguistic fuzzy model, the interpretability of the model should be safeguarded or at least be balanced against its accuracy. A good trade-off between accuracy and
openaire +3 more sources

