Fuzzification of ASAT's rule based aim-point selection

The current baseline ASAT aim-point algorithm is based on a hard logic rule-based approach. The main limitation of this approach results from the combination of uncertainties in the ASAT mission. These uncertainties can not be eliminated or even significantly reduced without a tremendous expenditure of resources. ASAT needs an algorithmic approach which is designed to operate in the presence of uncertainty. During the past few years, fuzzy logic has belatedly become important design paradigm in the united States. There are a few tools available for developing fuzzy logic applications. These tools are for the most part tied to some particular hardware development system. They are also not designed ho support the ASAT application or be integrated with the current ASAT resources. We are proposing to develop a fuzzy logic tool which is primarily designed. to support the ASAT project. In addition, th&s tool will be designsd to support a wide variety of image-based fuzzy logic design efforts. It will eventually also offer the relatively new capability of generating rules automatically through the application of neural networks.