modeling is one of the most interesting areas in various fields of science. unfortunately data quality, which has an important role in the modeling, is not considered. in fact, most often processes encounter disturbances which results in the collection of abnormal data and may lead to a model different from the real behavior of the process. on the other hand, most of real industrial processes a...

The main purpose of this paper is to propose an approach for performance measurement, classification and ranking the investment companies (ICs) by considering internal structure and uncertainty. In order to reach this goal, the interval network data envelopment analysis (INDEA) models are extended. This model is capable to model two-stage efficiency with intermediate measures i...

In this paper we present the current situation at the field of hypermedia data modelling. We list advantages and disadvantages of the most primitive hypermedia data model, i.e. the nodelink data model and the models of the second generation hypermedia, such as the Hyperwave data model and HM-Data Model. We believe that an introduction of a semantic hypermedia data model, called the HC-Data Mode...

T. J. Eggebraaten J. W. Tenner J. C. Dubbels The integration of medical information from various sources is gaining in importance as hospitals and medical research centers attempt to gain new insights into existing data. The Health Level Sevent (HL7t) organization has developed an abstract information model for health-care data, the HL7 Reference Information Model (RIM). We describe in this pap...

background: diagnostic models are frequently used to assess the role of risk factors on disease complications, and therefore to avoid them. missing data is an issue that challenges the model making. the aim of this study was to develop a diagnostic model to predict death in hiv/ aids patients when missing data exist. methods: hiv patients (n=1460) referred to voluntary consoling and testing cen...