FUZZY LOGIC FOR SIMPLY PRIORITIZING INFORMATION IN ACADEMIC INFORMATION SYSTEM

The result of expert justification has a strong effect in prioritizing parameters. However, common methods still deliver a subjective/personal soul in technical justification. The study proposed a fuzzy logic based justification approach to reduce partial value of parameters. Its consequence is subjectivity feeling is able to be avoided scientifically. To implement the purported approach, twenty four academic information were operated. Conclusively, prioritized academic information were produced.