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Expert System in MIS (Management Information System)

MIS | Expert System: In this tutorial, we will learn about the Expert System in MIS (Management Information System), its components, advantages, and disadvantages. By IncludeHelp Last updated : June 01, 2023

What is an Expert System in MIS?

An expert system is the highest form of automation of the management computing office which allows document communication and manipulation. Decision support systems help with problem-solving by allowing data and model manipulation. Expert systems go beyond conventional manipulation of this kind, as they allow experts to 'teach' computers about their fields so that fewer expert decision-makers can support the system more of the decision-making process.

Expert systems are one of the most cutting-edge information technology facts. That is, in some of the most complex and least-understood human information handling tasks, i.e. decision-making, problem-solving, diagnosis and learning, they help people. We do this by holding a large amount of factual information on a subject area, along with lines of reasoning employed in that field by human experts.

Expert System Components

The key components of Expert System are as followings,

1. User Interface:
   It contains a computerized system between the user and the machine for friendly communication. This system provides an interface to the user in a graphical way.
2. Interference Engine:
   It regains & determines the data process. It performs this task to deduce new facts which are subsequently used to draw further conclusions. This component is associated with an expert system as the brain of the expert system.
3. Knowledge Base:
   This is the most important element of an expert system because it holds the expert's knowledge of problem-solving. It is here that the expert's elicited knowledge is stored. It contains the rules, facts and object descriptions, etc. The knowledge base is always stored in the data with the newest expert system products. The knowledgebase information is all that is needed to understand & formulate the problem, and then solve it.
4. Data Acquisition Subsystem:
   The specialist has to learn the information reflected in the knowledge base. Information acquisition software is used by a person who has problem experience to build, incorporate or modify the base of knowledge. Potential knowledge sources include human experts, research reports, textbooks, databases and the experience of the user himself.

Advantages of Expert System

Expert System (ES) gives clear responses for routine actions, procedures and activities .

• Expert System (ES) retains significant levels of the knowledge base.
• Expert System (ES) supports organizations to explain the rationale of their decision-making.

Disadvantages Expert System

• Expert System (ES) doesn't reply creatively as a human expert in unusual ways.
• Expert System (ES) requires more technical aspects due to this difficult in use.
• Highly costlier system.