Decision Support System

This article describes the classification and approaches to the construction of DSS that take into account various aspects of the uncertainty of the development of DSS. Features of the classification were proposed and described. Generalized classification of DSS was improved. The analysis of the types of architecture, architecture reviewed information resource decision support systems, based on the principles of building a data warehouse.

This article describes an object-oriented approach of DSS modeling. Three-level architecture is suggested and it describes a conceptual model of DSS. The analysis of possible reusable components for various types of structures is analyzed. We describe the principles of building a custom DSS use of multiple components.

This article describes the steps to clear data in the DSS. The ontology concepts of clear data were proposed and described. The analysis of methods and data cleansing technology were carried out at every stage of the process, taking into account its features. Built The ontology of data cleaning techniques for methodological systematization of functional elements in the implementation model of DSS was built.

The article describes the approach to defining the importance of incoming documents and the technique of evaluating the effectiveness of application of parametric processing of electronic documents with the Internet. The assessment of the effectiveness of methods for priority processing of incoming documents in accordance with their importance