Much of what humans think and do is based on instinctive approximations of probability, and not precise probability calculations. Split-choice binary systems demand a high degree of precision in the mathematical input and require hundreds of rules of exchange and thousands of lines of instructions to program that information into a computer. In fact the instinctive aspects of the probability calculation is what mimics the human aspect of the decision making and not the quich calculation of precise mathematical variables around hundreds of rules. The exciting thing about fuzzy logic is that in every human interface it has an application. The bad news is that the United States is not developing any of those applications.
Fuzzy logic has important applicaitons, for example, in the recognition of speech.
It has proven benefits in stabilizing robotics to control such delicate maneuvers as medical operations and the control of nuclear reactors. The big promise of the fuzzy logic system is based on the fact that the degree of accuracy of a developing fuzzy logic system, rises exponentially, with the degree of fuzziness that is injected into the decision making. That is saying that the degree of precision or clarity increases with each degree of fuzziness. The result of this homogeneity in cultural views is that fuzzy logic is now beging developed in Asia, Europe, China, and the USSR but not here. The type of individual who picks up on non-traditional thinking is absent from our lavs.