Generic LR fuzzy cells for fuzzy hardware synthesis

Yau Hwang Kuo, Chao Lieh Chen

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


A novel primitive cell structure for high-performance hardware realization of fuzzy computations is proposed in this paper. Such a cell structure is called generic LR fuzzy cell because it is an integral unit that encapsulates an LR fuzzy set and a basic fuzzy operation such as implication or arithmetic operation. Based on the proposed cell structure, we can develop two major kinds of fuzzy cell - LR fuzzy implication cell and LR fuzzy arithmetic cell - for the systematic synthesis of fuzzy application specific integrated circuits (ASIC's) or general purposed fuzzy processors. The fuzzy systems synthesized with LR fuzzy cells possess the characteristics of decentralized knowledge manipulations and massively parallel inference. The system expandability and reconfigurability are also warrantable. This paper emphasizes on the design and application of fuzzy implication cell. The LR fuzzy implication cell is implemented with analog current mode technology. By this technology, an implication cell has the characteristics including small circuit area, high performance, low-power dissipation, etc. Moreover, the implication cell manipulates continuous data so that the realization of a pure fuzzy system is possible. In this paper, the key circuit characteristics 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 synthesis by the LR fuzzy cells.

Original languageEnglish
Pages (from-to)266-285
Number of pages20
JournalIEEE Transactions on Fuzzy Systems
Issue number2
Publication statusPublished - 1998

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics


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