TSK-Based Linguistic Fuzzy Model with Uncertain Model Output(Computation and Computational Models)

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概要

• 論文の詳細を見る

• We present a TSK (Takagi-Sugeno-Kang)-based Linguistic Fuzzy Model (TSK-LFM) with uncertain model output. Based on the Linguistic Model (LM) proposed by Pedrycz, we develop a comprehensive design framework. The main design process is composed of the automatic generation of the contexts, fuzzy rule extraction by Context-based Fuzzy C-Means (CFCM) clustering, connection of bias term, and combination of TSK and linguistic context. Finally, we contrast the performance of the presented models with other models for coagulant dosing process in a water purification plant.

• 社団法人電子情報通信学会の論文
• 2006-12-01

著者

• Kwak Keun-chang

  Intelligent Robot Research Division Electronics And Telecommunications Research Institute (etri)

• Kim Dong-hwa

  Department Of Control And Instrumentation Engineering Hanbat National University

関連論文

• TSK-Based Linguistic Fuzzy Model with Uncertain Model Output(Computation and Computational Models)

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