Both theoretical and empirical findings have suggested that combining different models can be an effective way to improve the predictive performance of each individual model. It is especially occurred when the models in the ensemble are quite different. Hybrid techniques that decompose a time series into its linear and nonlinear components are one of the most important kinds of the hybrid model...

The subjective trust relationship is uncertain in the open network; it has fuzziness and uncertainty of dual characteristics. Therefore, both features should be considered when setting up trust model. Cloud model was introduced to, a qualitative and quantitative transformation model; the investigation of subjective trust management, a brand new representation method of subjective trust was prop...

Sharing structured data today requires agreeing on a standard schema, then mapping and cleaning all of the data to achieve a single queriable mediated instance. However, for settings in which structured data is collaboratively authored by a large community, such as in the sciences, there is seldom consensus about how the data should be represented, what is correct, and which sources are authori...

Background: Patients’ trust in their physicians can affect therapeutic outcomes. Measurement of patient’s trust levels is a helpful approach for policymakers in healthcare systems. Aim: The present study was targeted toward the translation and psychometric assessment of patients’ trust in midwifery care questionnaire. Method: This cross-sectional study was conducted on 210 female patients refer...

Trust is a key enabler of cooperative human actions. Three main deficiencies about our current knowledge of trust are addressed by this paper. First, due to widely divergent conceptual definitions of trust, the literature on trust is in a state of construct confusion. Second, too little is understood about how trust forms and on what trust is based. Third, little has been discussed about the ro...