Abstract
<em>The word uncertainty in an expert system is related to working with wrong data, wrong information, handling identical situations, the reliability of results, etc. Sources of uncertainty can come from unreliable information. This is usually caused by unclear domain concepts or for inaccurate data. One method for overcoming uncertainty is Dhempster-Shafer's theory. Dempster-shafers come up with approaches to calculate probabilities to look for evidence based on trust functions. In general the Dempster-Shafer theory is written at an interval [Confidence, Reasonable]. Belief (Bel) is a measure of the strength of evidence in support of a series of propositions. In this study an expert system will be developed to diagnose oral cancer that can recognize oral cancer based on the symptoms felt by the user. The results showed the Dempster-shafer was able to overcome the uncertainties in the construction of the inference engine, this is because the accuracy of the test results showed an accuracy of 86.6% Dempster-shafer</em>.
Highlights
Expert systems or knowledge-based systems are part of artificial intelligence that allows computers to process and derive conclusions from a set of rules [1]
In the expert system the word uncertainty is related to working with incorrect data, incorrect information, handling identical situations, reliability of results etc
In this study the method used is Dempster-shafer, because it has a certainty of decision making, the conclusion drawn is obtained from data provided by the user through various symptoms that occur
Summary
Expert systems or knowledge-based systems are part of artificial intelligence that allows computers to process and derive conclusions from a set of rules [1]. The purpose of expert system development is to produce a system that can assist human work, especially in relation to the utilization of expertise and experience in a particular field [3]. In the expert system the word uncertainty is related to working with incorrect data, incorrect information, handling identical situations, reliability of results etc. In statistical methods based on the assumption that uncertainty is the probability of an event / fact true or false [6]. One method in overcoming uncertainty is Dhempster-shafer theory.For this reason, the Dempster-shafer appears with an approach to calculating probabilities to look for evidence based on trust functions and reasonable reasoning, which is used to combine information (evidence) [7]
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