This response was prepared in response to a question about where the membership functions and rules of a fuzzy logic unit are stored in the assembly code generated by Fide. Aptronix has a methodology we use in the generation of the assembly code. We call this methodology TVFI which stands for the Truth Value Flow Inference method. This is a proprietary method which was developed by the Fuzzy Logic experts at Aptronix to permit faster execution of the assembly code as well as the most efficient use of memory possible. There are three major steps that occur during the generation of assembly code. First, FIL, (fuzzy inference language) is a high level language that allows humans to easily define a fuzzy inference unit. This language is designed to be a user-friendly interface for humans. Secondly, the FIL source code is converted into the format of the standard data structure of Aptronix. This data structure is a medium between the easy human interface of FIL and assembly code. The data structure is designed to be compatible with hardware and has a format such that it can easily generate code for almost any target chip. Thus, as FIL is the interface that allows humans to work easily with fuzzy logic, the standard data structre allows hardware to use fuzzy logic easily. Finally, the FIU (fuzzy inference unit) stored in the standard data structure format is converted into assembly code. It is impossible to trace directly from this assembly code line for line to the source code written in the FIL. This is because different parts of rules and membership functions may be combined as part of the TVFI methodology. We have the capability to optimize the target- specific code generated completely for speed or completely for efficient use of memory depending upon your application. Custom RTC (Real Time code convertors) can be designed by Aptronix upon customer request. To summarize, the assembly code generated by Fide is optimized for the fuzzy logic aspect. We know how to optimize the code because the Aptronix engineers have used fuzzy logic in applications for many years and are experts on fuzzy logic and its applications. Thus, there is no way to optimize assembly code generated from a fuzzy inference unit more than with the TVFI methodology of Aptronix and the standard data structure. The individual instructions for the target chip contained in our assembly code can be modified for optimization however. (Although this should be done carefully). For instance, three instructions executing a load and multiply sequence can be replaced by one instruction accomplishing the same sequence. This does not interfere with the assembly code for the fuzzy inference unit. Scott Irwin Software Engineer Customer Support