This paper describes a genetic fuzzy mechanism, termed the GFT, which is derived from the biological nature of genes
and chromosomal evolution. In such a system, each rule resembles a gene and combination of each input with an output
represents a chromosome. A system is composed of multiple chromosomes combined in a certain modular manner. Tuning
of this system is done in two phases:
1. Coarse adjustment which is done by crossover and mutation operators on fuzzy set shape to reach a close proximity
to the desired value; and
2. Fine adjustment which is the tuning is done by adjusting the Input Importance Factor