Open AccessPemodelan Sistem Fuzzy Dengan Menggunakan Matlab
Author(s) -
Afan Galih Salman
Publication year - 2010
Publication title -
comtech/comtech
Language(s) - English
Resource type - Journals
eISSN - 2476-907X
pISSN - 2087-1244
DOI - 10.21512/comtech.v1i2.2349
Subject(s) - computer science , fuzzy logic , neuro fuzzy , fuzzy set operations , artificial intelligence , defuzzification , fuzzy electronics , fuzzy classification , soft computing , field (mathematics) , fuzzy number , fuzzy set , data mining , machine learning , fuzzy control system , mathematics , pure mathematics
Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and evolutionary computing. Fuzzy logic has the ability to develop fuzzy system that is intelligent system in uncertain environment. Some stages in fuzzy system formation process is input and output analysis, determining input and output variable, defining each fuzzy set member function, determining rules based on experience or knowledge of an expert in his field, and implementing fuzzy system. Overall, fuzzy logic uses simple mathematical concept, understandable, detectable uncertain and accurate data. Fuzzy system could create and apply expert experiences directly without exercise process and effort to decode the knowledge into a computer until becoming a modeling system that could be relied on decision making.