Fuzzy Inference of Large Volumes in Parallel Computing Environment

병렬컴퓨팅 환경에서의 대용량 퍼지 추론

  • 김진일 (한남대학교 정보통신ㆍ멀티미디어공학부) ;
  • 박찬량 (한남대학교 정보통신ㆍ멀티미디어공학부) ;
  • 이동철 (한남대학교 정보통신ㆍ멀티미디어공학부) ;
  • 이상구 (한남대학교 정보통신ㆍ멀티미디어공학부)
  • Published : 2000.05.01


In fuzzy expert systems or database systems that have huge 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 environment. In this, fuzzy rules are distributed and executed simultaneously. The ONE_TO_ALL algorithm is used to broadcast the fuzzy 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 rules or data, the parallel fuzzy inference algorithm extracts effective parallel ism and achieves a good speed factor.