Abstract
Fuzzy logic [26] is an alternative approach to control system design. Fuzzy logic works within the framework of set theory and is better at dealing with ambiguities. For example, three sets may be defined for a sensor: hard failure, soft failure, and no failure. The three sets may overlap and at any given time the sensor may have a degree of membership in each set. The degree of membership in each set can be used to determine what action to take. An algorithmic approach would have to assign a number to the state of the sensor. This could be problematic and not necessarily represent the actual state of the system. In effect, you would be applying a degree of fuzziness.
References
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- 26.K Terano, Asai T., and M. Sugeno. Fuzzy Systems Theory and Its Applications. Academic Press, 1992.Google Scholar
Copyright information
© Michael Paluszek and Stephanie Thomas 2019