GENERIC LR FUZZY CELLS FOR FUZZY HARDWARE SYNTHESIS

A novel primitive cell structure for high-performance hardware realiza tion of fuzzy computations is proposed in this paper. Such a cell stru cture is called generic LR fuzzy cell because it is an integral unit t hat encapsulates an LR fuzz) set and a basic fuzzy operation such as i mplication or arithmetic operation. Based on the proposed cell structu re, we can develop two major kinds of fuzzy cell-LR fuzzy implication cell and LR fuzzy arithmetic cell-for the systematic synthesis of fuzz y application specific integrated circuits (ASIC's) or general purpose d fuzzy processors. The fuzzy systems synthesized with LR fuzzy cells possess the characteristics of decentralized knowledge manipulations a nd massively parallel inference. The system expandability and reconfig urability are also warrantable. This paper emphasizes on the design an d application of fuzzy implication cell. The LR fuzzy implication cell is implemented with analog current mode technology. By this technolog y, an implication cell has the characteristics including small circuit area, high performance, low-power dissipation, etc. Moreover, the imp lication cell manipulates continuous data so that the realization of a pure fuzzy system is possible. In this paper, the key circuit charact eristics of fuzzy implication cell are evaluated in details and there are two cases-fuzzy knowledge system and fuzzy mean filter-implemented to confirm the effectiveness and efficiency of fuzzy hardware synthes is by the LR fuzzy cells.