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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Patel, Jigna | - |
dc.date.accessioned | 2014-10-30T09:04:52Z | - |
dc.date.available | 2014-10-30T09:04:52Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5143 | - |
dc.description | International Journal of Electronics, Communication & Instrumentation Engineering Research and Development, Vol. 4 (4), Page No. 27 – 35 | en_US |
dc.description.abstract | Fuzzy Logic is based on distinguish between Binary variable which is present in Classical sets which are restricted. Fuzzy Logic helps us to build linguistic variable which enables us to create minute differences in any application. This paper covers the basics of Fuzzy logic. The entire concept of fuzzy logic is presented in well-defined manner. When to use and how to use fuzzy logic is explained. There are many application in which fuzzy logic is used and I have implemented one of them. I have demonstrated a C++ code with algorithm to detect the traffic flow on roads and I have discuss its results. Future scope with the extension of existing code would be helpful. | en_US |
dc.relation.ispartofseries | ITFCE031-2; | - |
dc.subject | Computer Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFCE031 | en_US |
dc.title | Traffic Control using Fuzzy Logic | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, CE |
Files in This Item:
File | Description | Size | Format | |
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ITFCE031-2.pdf | ITFCE031-2 | 350.15 kB | Adobe PDF | ![]() View/Open |
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