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Intelligent database component Intelligent agent for the model base and its management System for improving the user interface Consultant to DSS builders Consultant to users Specification of objectives, parameters, probabilities 2. Retrieval and managemen

56 DSS Components Five ES Figure 20.2

1: Intelligent database component

2: Intelligent agent for the model base and its management

3: System for improving the user interface

4: Consultant to DSS builders

5: Consultant to users

Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ 57 Component  Architecture for ES and DSS integration Figure 20.3  ES is between the data and the models to integrate them  Integration is Tight  But can be over Communications Channels like the Internet Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ 58 Configurations  ES Output as Input to a DSS  DSS Output as Input to ES  Feedback both ways Figure 20.4 Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ 59 Process  ES can complement DSS in the decision­making process 8­step process

1. Specification of objectives, parameters, probabilities 2. Retrieval and management of data

3. Generation of decision alternatives 4. Inference of consequences of decision alternatives 5. Assimilation of verbal, numerical and graphical information 6. Evaluation of sets of consequences 7. Explanation and implementation of decisions 8. Strategy formulation Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ Continue 60  1­7: Typical DSS functions 

8: Requires judgment and creativity ­ can be done by ES

 ES supplements the DSS with associative memory with business knowledge and inferential rules. Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ 61  EIS and DSS – EIS is commonly used as a data source for PC­based modeling  How? – EIS­generated information as DSS input – DSS feedback to the EIS and possible interpretation AIS In Action 20.3 and ES explanation capability Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ ES, and Global Integration 62 Global Integration  May include several MSS technologies  Comprehensive system conceptual architecture Figure 20.5 – Inputs – Processing – Outputs Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson Copyright 1998, Prentice Hall, Upper Saddle River, NJ 63 1. Visually attractive tabular graphic status reports that describe the decision environment, track meaningful trends and display important patterns

2. Uncontrollable event and policy simulation forecasts

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