Open AccessFuzzy Logic System Implementation with Mamdani Method in Computer-Based Intelligence Quotient Test to Determining the Type of Intelligence Dimension
Author(s) -
Ghofinka Putri,
Burhanuddin Dirgantoro,
Pramitha Aulia,
Casi Setianingsih
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1577/1/012005
Subject(s) - dimension (graph theory) , quotient , test (biology) , fuzzy logic , artificial intelligence , intelligence quotient , computer science , computational intelligence , human intelligence , standardization , machine learning , mathematics , psychology , paleontology , cognition , neuroscience , pure mathematics , biology , operating system
A person of a thing can cultivate intelligence in areas of interest, sometimes many people complain because the results of their intelligence quotient test (IQ) show unsatisfactory results. Because they are still looking only lies in those abilities. Intelligence quotient tests are used to explore knowledge about certain individual skills and intelligence. To determine someone’s intelligence, it takes a long time to analyze and get the test output from calculations by certain methods manually. The determination of a person’s dimension intelligence can be done by certain method, this research is one way to make a fuzzy model for the type of intelligence dimension support system based on standardization in psychology The result of this research is expected to explain how to modeling the fuzzy logic system with Mamdani method in a support system to determine the types of intelligence dimensions, namely the festigung / exact or flexibilitat / non-exact.