Fuzzy Inference of Large Volumes in Parallel Computing Environments

병렬컴퓨팅 환경에서의 대용량 퍼지 추론

  • 김진일 (한남대학교 정보통신·멀티미디어공학부) ;
  • 이상구 (한남대학교 정보통신 멀티미디어공학부)
  • Published : 2000.08.01


In fuzzy expert systems or database systems that have volumes of fuzzy data or large fuzzy rules, the inference time is much increased. Therefore, a high performance parallel fuzzy computing environment is needed. In this paper, we propose a parallel fuzzy inference mechanism in parallel computing environments. In this, fuzzy rules are distributed and executed simultaneously. The ONE_TO_ALL algorithm is used to broadcast the fuzzy input input vector to the all nodes. The results of the MIN/MAX operations are transferred to the output processor by the ALL_TO_ONE algorithm. By parallel processing of fuzzy or data, the parallel fuzzy inference algortihm extracts effective and achieves and achieves a good speed factor.



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