Course Content
DSS – Introduction, Attributes, Characteristics, Benefits
Decision Support System (DSS): Concept and Philosophy, DSS: Deterministic Systems, Artificial intelligence (AI) System, Knowledge based expert system (KBES), MIS & the role of DSS, Transaction Processing System (TPS), Enterprise Management System (EMS), Enterprise Resource Planning (ERP) System, Benefits of ERP, EMS & ERP
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Classification of DSS
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Types – Decision Support System
Decision support systems can be broken down into categories, each based on their primary sources of information.
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Knowledge Based Expert System (KBES)
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Enterprise Management System (EMS)
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Enterprise Resource Planning (ERP) System
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Management Information System
Features of Knowledge Based Expert System

Features of Knowledge Based Expert System

The key features of the knowledge-based expert system in MIS are as described below:

1. High-Level Expertise 

The high-level expertise provided to help in problem solving is one of the most valuable features of an expert system. This expertise is analogous to the best thinking by top experts in the specific field providing solutions which are creative, precise and efficient.

2. Predictive Modelling Power 

Predictive modelling power is another useful feature of an expert system. It acts as a model of problem solving in the given domain and throws up answers for given problem situations and also reflects the change in them (given new situations explaining the reason for change). This helps the user to assess the potential effect of new facts or data and know about their relationship to the results.

3. Institutional Memory 

Institutional memory refers to the body of knowledge which defines the ability of an expert system. When people in important position leave an organisation, their expertise gets reserved as institutional memory. This is significant and critical for vital military and government institutions where personnel transfers are frequent.

4. Ability to Provide a Training Facility

An expert system is also capable of providing training to important personnel. As expert systems already have the knowledge and reasoning ability, they can train various employees when required.