Afan, Galih Salman (2010) PEMODELAN SISTEM FUZZY. Jurnal ComTech, 01 (02). ISSN 2087-1244
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | 8_Volume 01 / Nomor 02 / December 2010_PEMODELAN SISTEM FUZZY |
| Subjects: | Computer Science |
| Divisions: | Jurnal ComTech > Volume 01 / Nomor 02 / December 2010 |
| Depositing User: | Mr. Super Admin |
| Date Deposited: | 05 Jun 2012 04:53 |
| Last Modified: | 05 Jun 2012 04:53 |
| URI: | http://eprints2.binus.ac.id/id/eprint/13039 |
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