Certainty Factors in Expert System

Certainty Factors in Expert System

• By Sardiarinto,;
• Seminar Internasional Bereputasi
• 161

The accurate analysis of pests and diseases of the chili

plants can determine the right solution to reduce the production

failure of plants. But the number of horticulture experts who can

help to diagnose pests and diseases of the chili plants is still

limited. The expert system is built with the aim to help

diagnosing pests and diseases of the chili plant. This expert

system extracts expert’s knowledge by using inference engine.

The inference engine used is the Forward Chaining, which works

by analyzing symptoms to achieve a demanded conclusion. The

incompleteness of the experts’ domain knowledge and the

difference of the expert sources or the incompleteness of

information provided by the expert system users, can lead into

uncertain result of the expert system. The application of

Certainty Factors in Expert System is able to anticipate

Uncertainty from the Expert System result. The result presented

by the expert system is in the form disease names, the definition,

the solution and the certainty value from conclusion.

Keyword: Expert System, Forward Chaining, Certainty Factors

• Katakunci
• URL https://ieeexplore.ieee.org/abstract/document/8674264
• Penerbit ,

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