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.