Design of an Effective Parallel Architecture for Fuzzy Information Processing
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- Lee Sang-Gu
- Hannam University
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- Akizuki Kageo
- Waseda University
書誌事項
- タイトル別名
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- Design of an Effective Parallel Archite
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In this paper, we present parallelizing techniques for the two fuzzy inference methods (Mamdani and Koczy methods), and propose an effective parallel fuzzy architecture, which is suitable for fuzzy information processing. The proposed parallel fuzzy architecture is composed of FPEs, CP, memory modules, interconnection network and MIN circuit. This achieves a relatively higher performance and is a generalized cascadable architecture independent of input variables, output variables and rule base. In this, each FPEi processes only the operations of the i-th antecedent and the i-th consequent. Then, all of the antecedents in the condition part are executed in parallel, same as in the consequent part. So processors can be fully utilized and it is easy to configure the design with any number of antecedents, consequents and rules. This parallel fuzzy inference architecture can be used in a system requiring a rapid inference time in real-time system and/or a large expert system that has many inference variables in the condition part and the consequent part.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 118 (7-8), 1190-1195, 1998
一般社団法人 電気学会
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詳細情報
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- CRID
- 1390282679585056128
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- NII論文ID
- 130006844098
- 10002814712
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4496741
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可