Abstract
Group Decision Support System (GDSS) provides a group electronic environment in which managers and teams can collectively make decisions and design solutions for unstructured and semi-structured problems. In this paper, we propose to model for group decision support system based on expertise interaction meta-model. In this paper we develop a specialized systems such as Management Information System (MIS), Decision Support Systems (DSS), and Executive Information Systems (EIS) to be talked about work with these systems and technologies for data mining and Online Analytical Processing (OLAP) and the role of knowledge-based DSS should be to allow experts to broaden and expand their expertise, not to narrow it down to focus on the specific decision needs of managers and employees. Expert System (ES) with knowledge base captured from numerous experts in the same subject area as well as from a variety of specialists in international financial management, international accounting, international tax areas, and so forth.
Highlights
Decision Support System (DSS) is an interactive computer-based system or subsystem intended to help decision makers use communication technology, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decisions
While the previous studies suggest that incorporating formal models of group process theories in Group Decision Support System (GDSS) design is feasible, it is clear that these models introduce layers of complexity that may challenge the performance of such systems
There are new opportunities for enhancing decision support with data mining technologies. Some of these have led to rule oriented, automated decision systems that can be employed in real time applications
Summary
Decision Support System (DSS) is an interactive computer-based system or subsystem intended to help decision makers use communication technology, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decisions. DSS is about developing and deploying IT based systems to support decision processes. In integrating DSS and ES, two basic approaches are discernible and labeled expert support systems (ESS) and intelligent support systems (ISS). The new integrated system (ESS or ISS) can support decision makers by harnessing the expertise of key organizational members. A bottleneck in the development of knowledge-based systems such as ESS is knowledge acquisition, which is a part of knowledge engineering – the process includes representation, validation, inference, explanation and maintenance. We developed the Interaction Meta-Model contextual factors to be an Expertise Interaction Meta-Model by integrating expert systems, expertise groups and expertise tasks
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
