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26.780  Articles
Dempster-Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, an imp... see more

The negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue. To address this issue, a novel negation method of basic probability assignment bas... see more

A method based on improved fuzzy theory of evidence was presented to solve the problem that there exist all kinds of uncertainty in the process of information security risk assessment. The hierarchy model for the information systems risk assessment was es... see more

As the information measured by a single sensor cannot reflect the real situation of mechanical devices completely, a multi-sensor data fusion based on evidence theory is introduced. Evidence theory has the advantage of dealing with uncertain information. ... see more

To ensure the safety and reliability of equipment and effectively prevent the occurrence of major accidents, a monitoring and diagnosis system of equipment condition is proposed in this paper. First, a perceptual model of four layers, which can collect th... see more

The article devoted to current problems of the iron deficiency anemia (IDA) treatment. Basic mechanisms and stages of this disease development are described. Based on the literature data a comparative analysis of the efficacy and safety of ferrotherapy wi... see more

This paper presents a case study in selecting the best location for a Floating Storage and Regasification Unit (FSRU) in Bali. FSRU is an alternative to replace a conventional shore LNG terminal. The selection involves several criteria/attributes that can... see more

ObjectiveOur project goal is to enhance the capability of automating health surveillance[MOU1] by US Department of Defense (DoD) epidemiologists. We employ software tools that build and train Bayesian networks (BNs) to facilitate the development of analyt... see more

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