A Novel Logic Analysis Method with AI-Fuzzy VCR

Logic Analysis Method (LAM) always was realized with some n-Figures binary numbers, its FM (Figures' Module) is the lowest in all FCN (Fixed Carrying Numbers), and all FCN are ones of special VCN (Variable Carrying Numbers). All Numbers' Value of VCN is very fuzzy, because their VCR (Variable Carrying Rules) may be designed in Artificial Intelligence (AI). FPGA is a new material Programmable Logic Units in end of the 20th century, it was with some properties such that, large memory of capacities, short delays of time, improvement able & flexibilities etc. On the basis theory of Neural Fuzzy System of Networks (NFSN), this paper gives a novel logic analysis method with AI-Fuzzy VCR. The dynamic logic analysis algorithm takes a reusing technique of VCR path, a process of middle-data to be shaped & placed in RAM. In the deep research & analysis of logic testing, this analysis method is still practicable.