THE FUZZY RULE BASED SYSTEM FOR DETERMINING THE LEVEL OF HADITH SANAD AUTHENTICATION STATUS

Hadith is the second primary reference after Holy Qur'an for more than 1.8 billion Muslims worldwide. Internet and social media provide many al-Hadith sources. Unfortunately, this variety exposes Muslims to both real and fake Hadiths, making false Hadiths more popular than ever. The current systems for authenticating Hadith require detailed input, but the output does not indicate the level or category of the Hadith as defined by Hadith Science. This study proposes a Hadith Sanad Authentication Fuzzy Expert System (HAFES) that enhances knowledge acquisition and a fuzzy membership- determination approach for an expert system that can track the Hadith Sanad in determining the level of the Hadith. The result displayed that the HAFES performs well. The fuzzy inference model for the Tsiqah Level got an accuracy value of 92.72%, a precision of 98.12%, and a recall of 98.12%. The fuzzy inference model for Missing Narrators Level got an accuracy value of 98.16%, a precision of 97.16%, and a recall of 97.10%. Moreover, the final fuzzy inference model for Hadith Sanad Status Level got an accuracy value of 72.2%, a precision of 66.2%, and a recall of 76.9%.