DEVELOPMENT OF AN EXPERT SYSTEM FRAMEWORK FOR THE DIAGNOSIS OF CONFUSABLE DISEASES USING NEUTROSOPHICAHP TECHNIQUE

Auteurs

  • D. E. Aniobi Department of Mathematics/Statistics/Computer Science, Federal University of Agriculture, Makurdi, Nigeria Auteur
  • E. S. Alu Department of Agricultural Economics and Extension, Nasarawa State University, Shabu-Lafia, Nasarawa State Auteur
  • J. A. Aduwu Department of Mathematics/Statistics/Computer Science, Federal University of Agriculture, Makurdi, Nigeria Auteur

Mots-clés :

Neutrosophic Logic, AHP, Confusable, Uncertainty, MCDM

Résumé

Due to the myriad complexities in medical diagnoses, there is therefore the need to develop Expert systems that will help ameliorate decision making in confusable diseases scenarios. Diagnosis has become a difficult procedure in healthcare management due to the influence of therapeutic uncertainties that arise from confusion in disease symptoms that occur between two or more diseases. This confusion stems from the overlaps in the disease symptomatic presentation and has led to improper diagnosis with various degrees of associated costs and in worst scenarios has led to the death of patients. In this research, we designed and implemented a framework for the diagnosis of confusing diseases using Neutrosophic-Analytic Hierarchy Process (AHP) technique. The app was implemented using Java EE and MySQL database as the knowledge store; the objectoriented software engineering method used was employed in development. 

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Publiée

2020-03-31

Comment citer

DEVELOPMENT OF AN EXPERT SYSTEM FRAMEWORK FOR THE DIAGNOSIS OF CONFUSABLE DISEASES USING NEUTROSOPHICAHP TECHNIQUE. (2020). FULafia Journal of Science and Technology , 6(1), 42-47. https://lafiascijournals.org.ng/index.php/fjst/article/view/184

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