Jurnal Ilmiah Sains
Volune 8 Nomor 1, April 2008

EXPERT SYSTEM FOR DIAGNOSING DISEASE USING FUZZY LOGIC

Jullia Titaley (Jurusan Matematika Universitas Sam Ratulangi, Manado)

Article Info

Publish Date
15 May 2023

Abstract

In this research, a system for diagnosing disease was designed and implemented. This system will be used  for paramedics expert. They need to enter many symptoms. The symptoms are classified into two categories, crisps and fuzzy. The fuzzy symptoms are input using slider. It is used  for uncertainty symptoms. Building this system, needs three steps knowledge acquisition, knowledge representation and then building knowledge base, and finally  building inference engine. This system uses standard class operator, algebraic class operator, and Einstein class operator. Implication rule uses Dienes-Rescher and for combine all rules use Mamdani Combination. Based on all symptom that have been entered using standard class operator, this system is a success for diagnosing disease and its inference value. Keywords : diagnose disease, expert system, fuzzy logic.

Copyrights © 2008




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Journal Info
Jurnal Ilmiah Sains
Website

Abbrev

JIS

Publisher

Universitas Sam Ratulangi

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

Description

Jurnal Ilmiah Sains (Journal of Scientific Sciences) is the Journals Published by Faculty of Mathematics and Natural Sciences, Sam Ratulangi University. Jurnal Ilmiah Sains Published Twice a Year, i.e April and October. Jurnal Ilmiah Sains  welcomes full research articles in the area of ...