Model of Comprehensive Support of Intelligent DSS Development

Abstract

The paper presents a model of comprehensive support for the development of intelligent DSS. The model includes the concept of comprehensive support that describes the needs of developers, methods and means for supporting the development of systems of this class, the structure of the repository of decision-making methods, the architecture of a typical DSS and the methodology for their development. The methodology is based on such principles as the maximum use of ready-made solutions, scalability, accessibility, openness, usability, independence from subject domain, and selfdescriptiveness. These principles have proven themselves in practice. Abidance of these principles is ensured by the use of ontological, fractal-stratified, service-oriented and wire-frame approaches, as well as rapid prototyping and flexible development approaches. The methodology involves the use of Semantic Web technology and technology for the development of intelligent scientific Internet resources. Such means of comprehensive support for the development of intelligent DSS as the ontology of the knowledge area "Decision-making Support", the information and analytical Internet resource, the repository of decision-making support methods, and the methodology for developing intelligent DSS are described in detail. It is proposed to use information and analytical Internet resource, which is built on the basis of the ontology of the subject area and the shell proposed by the technology as a framework of future intelligent DSS. The functionality of the DSS under development is provided by using services that are connected to the resource and implement methods stored in the repository. The language of description logics of the SOIN (D) family is used to describe the model of comprehensive support.

On the Way to the Ontology of Test and Diagnostics Systems for Blading Power Plants

“…At this level (Fig. 5), the concepts and roles are partially integrated from the complex development of intellectual computer-aided decision-support systems in [7]. Domain experts, knowledge engineers, and programmers participate in the TDS development.…”

“…where C is the set of atomic concepts, R is the set of atomic roles describing the properties of concepts and their relations, A is the set of axioms which limit the possible interpretations of concepts and roles. The axioms contain descriptions composed of atomic concepts and role restrictions using the syntactic rules of the descriptive logic SOIN (D) [7,10].…”

“…To a greater extent, the use of intelligent technologies is relevant in development of power plants TDS. The process of meeting the established requirements by certain methods implemented by certain means can be understood as in [7].…”

Методы И Модели Поддержки Принятия Решений При Управлении Инновационными Проектами В Производственно-Экономических Системах

“…При этом, с одной стороны, в практике разработки информационных систем существует множество типовых решений, которые после определенной адаптации могут быть успешно внедрены на предприятии. С другой стороны, в работах [7,78,79] предлагаются решения, связанные с использованием онтологического анализа при проектировании программного обеспечения.…”