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KPAs and KFAs can be assessed and converted into numeric values that can be used as fuzzy inputs to Mamdani-type rule based fuzzy inference systems (MRBFIS) to make fuzzy assessments of SoS meta-architecture concepts.
Both Falcon-ART and Falcon-MART are fuzzy neural networks that can be used as fuzzy controllers or applied to areas such as forgery detection, pattern recognition and data analysis.
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Landslide frequency ratio was used as fuzzy membership function.
Normalized value of landslide frequency ratio was used as fuzzy membership function by (Pradhan et al. 2010).
At the beginning of processing, fuzzifier, as one of main components of the fuzzy inference system convert observed data to acceptable form of fuzzy membership functions (MFs) and then fuzzifier outputs are used as fuzzy inference productive inputs (Tay and Zhang 2000; Gharibi et al. 2012).
The utility functions combine these two variables into a single utility value to be used as input to the fuzzy logic.
This fuzzy system can then be used as a prediction model, composed of fuzzy logic rules that can be further analyzed to provide plausible linguistic representation.
Authors (2016) provide further insight in to how fuzzy logic may be used as a method in which to use fuzzy-logic to incorporate Indigenous knowledge in to learning.
This controller can also be used as a standard (Mamdani) type fuzzy logic controller (FLC) having bell-shaped input and singleton output membership functions.
Under this scenario, the fuzzy RDD can be used as opposed to the sharp RDD [12].
Therefore, inverse fuzzy model can be used as a controller for controlling nonlinear plants.
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