This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states in training data causes high error in modeling. Here, Probability fuzzy system presents to...

Data is everything - at least this one of the main messages ongoing industrial revolution. Manufacturing companies all over world are expanding their digital infrastructure and knowledge on data analysis in hope increasing KPIs with help artificial intelligence (AI). Although several well-designed data-driven solutions available, most crucial part, preparation still not fully supported. In pape...

BACKGROUND Clinicians often modify evidence-based psychotherapies (EBPs) when delivering them in routine care settings. There has been little study of factors associated with or implications of modifications to EBP protocols. This paper differentiates between fidelity-consistent and fidelity-inconsistent modifications and it examines the potential influence of two clinician characteristics, tra...