This model generalizes the one defined in [9] by considering the fuzzy setting.
The optimal enzymatic modulation to maximize aromatic amino acid, serine, and oxaloacetate synthesis rates simultaneously by E. coli considering fuzzy cell viability constraints and fuzzy metabolic adjustment for.
Our results bring novelty to the current literature by considering random fuzzy mappings whose values are fuzzy sets over complete countable metric spaces.
Two forms of neural computation are considered: fuzzy neural computation based on fuzzy sets and rough neural computation based on rough sets.
Fuzzy mathematical programming considers uncertainties as fuzzy sets, and is effective in reflecting ambiguity and vagueness in resource availabilities.
For "propensity" (the only indicator represented by fuzzy sets), because fuzzy sets cannot be considered in traditional AHP, the central value of the MF (the value with the highest GoM) was used.
In our approach, fuzzy rules are described by different fuzzy sets.
This is achieved by using fuzzy sets to model sonar data and by using fuzzy triangulation to identify robot's position and orientation.
For the purpose, the original GSI System and its modified form were defined by fuzzy sets, and Mamdani fuzzy algorithm was constructed using 22 "if then" rules for evaluating discontinuity parameters and their ratings considered in the GSI System.
Fuzzy aggregation is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
