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논문검색

The Dempster-Shafer Theory Algorithm and its Application to Insect Diseases Detection

초록

영어

This paper presents Dempster-Shafer Theory for insect diseases detection. Sustainable elimination of insect diseases as a public-health problem is feasible and requires continuous efforts and innovative approaches. In this research, we used Dempster-Shafer theory for detecting insect diseases and displaying the result of detection process. Insect diseases which include babesiosis, dengue fever, lyme, malaria, and west nile. We describe six symptoms as major symptoms which include fever, red urine, skin rash, paralysis, headache, and arthritis. Dempster-Shafer theory to quantify the degree of belief, our approach uses Dempster-Shafer theory to combine beliefs under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result.

목차

Abstract
 1. Introduction
 2. Dempster-Shafer Theory
 3. Detecting Insect Diseases
  3.1 Symptom 1: Fever
  3.2 Symptom 2: Red Urine
  3. 3 Symptom 3: Skin Rash
  3.4 Symptom 4: Paralysis
  3.5 Symptom 5: Headache
  3.6 Symptom 6: Arthritis
 4. Result
 5. Conclusion
 References

저자정보

  • Andino Maseleno Computer Science Program, Universiti Brunei Darussalam
  • Md. Mahmud Hasan Computer Science Program, Universiti Brunei Darussalam

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