Abstract
Question Answer System (QAS) has manymethods in determining candidate answer and must have theright answer for each question. Previous QAS using Fuzzylogic focused on candidate and ranking of answer. However,the QAS needs improvement in determining the relevantanswer from the question and generating the correct answer inthe question answer process. In this paper, we propose a newmethod to combine fuzzy logic and retrieval passages to obtaina collection of relevant answers in order to obtain high answeraccuracy. We take relevant answers from the collection of theanswer document and choose the exact answer using fuzzylogic. Methods for the QAS are preprocessing, questionanalyzer, passage retrieval, passage scoring, scoring for similartext, measuring keyword and candidate answers, fuzzy logiccontroller, rules, and extraction answer. This study producedsignificantly relevant answers compared to the TF-IDFmethod. The performance of the system has improved theaccuracy of QAS by 80% which is better than the previousstudy.
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