and then applied to the output portion of each rule. 3. Composition is where all of the fuzzy subsets of a particular problem are combined into a single fuzzy variable for a particular outcome. 4. Defuzzification is the optional process by which fuzzy data is converted to a crisp variable. In the lighting example, a level of illumination can be determined (such as potentiometer or lux values). A new form of information theory is the Possibility Theory. This theory is similar to, but independent of fuzzy theory. By evaluating sets of data (either fuzzy or discrete), rules regarding relative distribution can be determined and possibilities can be assigned. It is logical to assert that the more data that's availible, the better possibilities can be determined. The application of fuzzy logic on neural networks (properly known as artificial neural networks) will revolutionalize many industries in the future. Though we have determined that conscious machines may never come to fruition, expert systems will certainly gain "intelligence" as the wheels of technological innovation turn. A neural network is loosely based upon the design of the brain itself. Though the brain is an impossibly intricate and complex, it has a reasonably understood feature in its networking of neurons. The neuron is the foundation of the brain itself; each one manifests up to 50,000 connections to other neurons. Multiply that by 100 billion, and one begins to grasp the magnitude of the brain's computational ability. A neural network is a network of a multitude of simple processors, each of which with a small amount of memory...
