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The role of inferencing with uncertainty is becoming more important inrule-based expert systems (ES), since knowledge given by a human expert isoften uncertain or imprecise. We have succeeded in designing a VLSI chip whichcan perform an entire inference process based on fuzzy logic. The design of theVLSI fuzzy inference engine emphasizes simplicity, extensibility, andefficiency (operational speed and layout area). It is fabricated in 2.5 um CMOStechnology. The inference engine consists of three major components; a rule setmemory, an inference processor, and a controller. In this implementation, arule set memory is realized by a read only memory (ROM). The controllerconsists of two counters. In the inference processor, one data path is laid outfor each rule. The number of the inference rule can be increased adding moredata paths to the inference processor. All rules are executed in parallel, buteach rule is processed serially. The logical structure of fuzzy inferenceproposed in the current paper maps nicely onto the VLSI structure. A two-phasenonoverlapping clocking scheme is used. Timing tests indicate that theinference engine can operate at approximately 20.8 MHz. This translates to anexecution speed of approximately 80,000 Fuzzy Logical Inferences Per Second(FLIPS), and indicates that the inference engine is suitable for a demandingreal-time application. The potential applications include decision-making inthe area of command and control for intelligent robot systems, process control,missile and aircraft guidance, and other high performance machines.

A VLSI Design and Implementation for a Real-Time Approximate Reasoning