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The safety factor in the fuzzy setting is introduced.
Fixed point theorems have been studied in many contexts, one of which is the fuzzy setting.
Since then several classes of variational inequalities in the deterministic and fuzzy setting have been studied.
This model generalizes the one defined in [9] by considering the fuzzy setting.
This is a sufficient motivation to develop an application in a fuzzy setting.
This approach allows us to deduce results for metric spaces from the corresponding result in the fuzzy setting.
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Fuzzy set operations accomplish this process.
Regarding fuzzy set arithmetic, α-cuts of fuzzy sets are always closed and bounded intervals.
This block relates input fuzzy sets with output fuzzy sets by a set of IF-THEN rules.
The measures K and 1/K characterize the transformation of fuzzy set as point A to fuzzy set as point B in the unit hypercube.
Zadeh called them fuzzy sets.
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