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October 21, 2025Journal of Information Systems and InformaticsOpen Access

Expert System for Early Childhood Talent Detection Using Certainty Factor and Dempster Shafer Algorithms

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Authors

SSSupardi SupardiCKChandra KiranaFFFerdian Ferdian

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Overview

This study compares certainty factor and Dempster–Shafer algorithms for detecting talents, suggesting effective screening in early childhood.

Key Points

  • CF produced an 84% agreement with expert judgment for linguistic indicators, while DST assigned 65% mass to competing hypotheses.
  • The dual approach supports transparent screening of early talents, enabling proactive responses from caregivers and educators.
  • CF computes a single interpretable score per talent using belief weights, while DST quantifies uncertainty over multiple hypotheses.
  • Both algorithms enhance the decision-making process in identifying early childhood interests and talents.

Cite This Study

Supardi et al. (2025) studied this question.

synapsesocial.com/papers/68f74e597f21f73e19e5b45fhttps://doi.org/10.51519/journalisi.v7i3.1283
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Expert System for Student Talent and Interest Using Certainty Factor and Dempster-Shafer Methods2025
  2. 2Comparative Analysis: Accuracy of Certainty Factor and Dempster Shafer Methods in Expert Systems for Tropical Disease Diagnosis2025
  3. 3Comparison Of Dempster Shafer AND Certainty Factor Methods In Expert System For Early Diagnosis Of Stroke Disease2024
  4. 4Decision Support System For Student Activity Unit Selection Using Certainty Factor Method2024
  5. 5Application of the Certainty Factor Method in Expert System for Diagnosing Toddler Diseases2024