Bicycle Frame Prediction Techniques with Fuzzy Logic Method
| Autor: | La Ode Asman Muriman, Rafiuddin Syam |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Fuzzy classification
Neuro-fuzzy business.industry Computer science inseam lcsh:T Frame (networking) Fuzzy logic lcsh:Technology Bicycle Crank Size lcsh:TA401-492 Fuzzy set operations lcsh:Materials of engineering and construction. Mechanics of materials Artificial intelligence fuzzy logic lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 frame size height |
| Zdroj: | International Journal on Smart Material and Mechatronics, Vol 2, Iss 1, Pp 38-41 (2015) International Journal on Smart Material and Mechatronics, Vol 2, Iss 1, Pp 38-41 (2017) |
| ISSN: | 2356-5314 |
| Popis: | In general, an appropriate size bike frame would get comfort to the rider while biking. This study aims to predict the simulation system on the bike frame sizes with fuzzy logic. Testing method used is the simulation test. In this study, fuzzy logic will be simulated using Matlab language to test their performance. Mamdani fuzzy logic using 3 variables and 1 output variable intake. Triangle function for the input and output. The controller is designed in the type mamdani with max-min composition and the method deffuzification using center of gravity method. The results showed that height, inseam and Crank Size generating appropriate frame size for the rider associated with comfort. Has a height range between 142 cm and 201 cm. Inseam has a range between 64 cm and 97 cm. Crank has a size range between 175 mm and 180 mm. The simulation results have a range of frame sizes between 13 inches and 22 inches. By using the fuzzy logic can be predicted the size frame of bicycle suitable for the biker. |
| Databáze: | OpenAIRE |
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