DSS Concepts, Methodologies and Technologies

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Presentation transcript:

DSS Concepts, Methodologies and Technologies

Objectives 1 Components of DSS 2 Classification of DSS

Components of DSS

Components’ Capabilities Component Name General Capabilities Data Access to a variety of data sources, types and formats for a variety of problems and contexts Model Access to a variety of analysis capabilities with some suggestion or guidance available User Interface Easy to use and for routine use, modification and construction of DSS Knowledge Access to a variety of artificial intelligence tools to provide intelligence to the other three components and to mechanisms for problem solving directly

The Data Management Subsystem The data management subsystem is composed of the following elements: DSS Database DBMS Data Directory Query Facility

Key Database and DBMS Issues Data Quality Data Integration Scalability Data Security

The Use Interface Subsystem

The Knowledge-based Management Subsystem Advanced DSS are equipped with a component called a Knowledge-based Management Subsystem. This component can supply the required expertise for solving some aspects of the problem and provide knowledge that can enhance the operation of other DSS components. Knowledge components may be provided by Expert Systems, neural networks, intelligent agents, fuzzy logic, case-based reasoning systems and so on.

The Knowledge-based Management Subsystem Expert Systems https://www.youtube.com/watch?v=gwWLkk4OPAQ Neural Network https://www.youtube.com/watch?v=i6ECFrV_BVA Intelligent Agent https://www.youtube.com/watch?v=o1GxTa_9wi4 Fuzzy Logic https://www.youtube.com/watch?v=J_Q5X0nTmrA

Classification of DSS Text-oriented DSS Database-oriented DSS Spreadsheet-oriented DSS Solver-oriented DSS Rule-oriented DSS

End of Class