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Fuzzy Logic (Fuzzy logic algorithm (Appoint the linguistic variables and…
Fuzzy Logic
Fuzzy logic algorithm
Appoint the linguistic variables and terms (initialization)
Create the membership functions (initialization)
Create the rule base (initialization)
Convert crisp input data to fuzzy values
based on the membership functions (FUZZIFICATION)
Evaluate the rules in the rule base (inference)
Combine the results of the rules (aggregation)
Convert the output data to non-fuzzy value (DEFUZZIFICATION)
Some fuzzy linguistic terms
tall,
hot,
low,
average,
medium,
several,
close,
Method of fuzzy logic
‣syntax
semantics
axiomatization
truth-preserving deduction
completeness
complexity and comparative complexity
Classical logic
Quantities are certain, the temperature is 85º
All propositions are true or false (Boolean Logic)
Rules of inference enable sound and complete
solutions to be found
Semi decidable
No easy way to introduce uncertainty
applications
Application one : Controller of temperature
Application two: Wireless routing
Introduced by Zadeh in 1965
it set Information and Control
Future work
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