Talk:Fuzzy logic: Difference between revisions

Revision as of 23:29, 10 May 2005

Revision as of 14:13, 9 August 2005

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If you wanted to place number values on the situation, if Tim is 25% stronger than Carl, then Tim should do 25% more lifting. This is my understanding of FL, unless it is a different logic altogether...

Actually you can't infer anything like that without more information. What if the cleaning is really easy while the unloading is hard work. Then both should spend most of their time unloading the truck... ...unless only when can unload at once etc. [[User:194.237.142.21|194.237.142.21]] 14:13, 9 August 2005 (UTC)

:A more sophisticated practical example is the use of fuzzy logic in high-performance error correction to improve information reception over a limited-bandwidth communication link affected by data-corrupting noise using turbo codes. The front-end of a decoder produces a likelihood measure for the value intended by the sender (0 or 1) for each bit in the data stream. The likelihood measures might use a scale of 256 values between extremes of "certainly 0" and "certainly 1".

To me this sounds like a textbook example of when to use Bayes' theorem. In other words, it is (should be) an application of probability rather than fuzzy logic. Earlier the article states that

:because fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition.

and we're definately dealing with the latter in this case. [[User:194.237.142.21|194.237.142.21]] 14:13, 9 August 2005 (UTC)