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Silicon Compilation of Fuzzy Hardware Systems Based on Generic LR Fuzzy Cells

In: Fuzzy Hardware

Author

Listed:
  • Yau-Hwang Kuo
  • Chao-Lieh Chen

Abstract

In recent years, various analog fuzzy hardware systems have been proposed with the idea of realizing high performance implementations [1]-[5]. The fuzzy systems proposed in each of these articles features high performance, small area and low power consumption in their respective application domains. However, accompanying the successful application of fuzzy set theory to many fields, we have seen the development of a wide variety of fuzzy system styles as well as a fusion of fuzzy set theory and neural networks. Therefore, a generic and systematic design methodology for fuzzy hardware is demanded. Moreover, to relieve the annoyance of second order effects in analog hardware systems, generic cells for high level synthesis are also required. To achieve these goals, the proposed silicon compiler adopts a set of general-purpose LR fuzzy cells[21] so as to simplify both the organization of a standard cell library and the synthesis of fuzzy hardware systems from high-level fuzzy linguistic descriptions. Other silicon compilation approaches [6]-[7] for fuzzy hardware have also been proposed to achieve high level synthesis. However, only a single fuzzy system style can be found in these articles. They support only one kind of inference method associated with singleton fuzzy rules and single type membership functions.

Suggested Citation

  • Yau-Hwang Kuo & Chao-Lieh Chen, 1998. "Silicon Compilation of Fuzzy Hardware Systems Based on Generic LR Fuzzy Cells," Springer Books, in: Abraham Kandel & Gideon Langholz (ed.), Fuzzy Hardware, chapter 0, pages 91-116, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4615-4090-8_5
    DOI: 10.1007/978-1-4615-4090-8_5
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