Fuzzimetric Arcs (FA) technique was first proposed by
Kouatli et al [6, 7] where the objective was to improve the
design process of fuzzy controllers in a robotic welding
process by defining a standard set of discretization
mechanism. A simplified modular approach was also
proposed by Kouatli [8] to reduce the complexity as well as
maintaining the completeness of rule-sets. This has led to
the implementation of the modular approach of fuzzy logic
in industrial processes. The objective was to emulate the
human operator’s decision making process by manipulating
the fuzzy set shape using Fuzzimetric Arcs (Kouatli [17]).
The second objective was to reduce the amount CPU and
RAM utilization by taking a modular approach where the
fuzzy decision making process is composed of sub-rule-sets,
each or which describes the behavior of one of the input in
relation to one of the outputs. The mechanism of
Fuzzimetric Arcs was enhanced when the rule-sets were
defined in terms of Genetic Algorithm Kouatli [9]. Also,
details of GFT mechanism with the use of Analytical
Hierarchy processing (AHP) to combine multiple rule sets
in a specific system can be found in Kouatli [18].