A Visualization-based Intelligent Decision Support System Conceptual Model

the development of Intelligent Decision Support Systems IDSS is till requiring much effort to cope with both: the complexity of today decisions and daily flood of risky decisions. However evolving a covenant intelligent components and visualization aspects in IDSS are big challenges to be developed; but it would provide a muzzy decision taker an insight, preference, and much capability during a decision choice. This paper opt the advanced information visualization schemes for both decision's fact finding and decision taking processes. It proposes a conceptual model for IDSS that integrates DSS and dynamic information visualization within enterprise functionality. And it has introduced a three-module IDSS conceptual model that assembles a model base subsystem, fact finding subsystem, and dynamic visualization subsystem as a practitioner solution. The paper will focus on information visualization as an emerging computing relevant to be incorporated in order to model hidden facts in data and to expose such patterns in a visual manner. Finally this work formulates a viability of implementing such architecture and presents the conclusions.