Item Infomation

Title: Optimal hedge-algebras-based controller: Design and application
Authors: Nguyen Cat Ho
Keywords: Fuzzy control; Hedge algebras; CS425
Issue Date: 2008
Publisher: Fuzzy Sets and Systems
Series/Report no.: 159;
Abstract: In previous papers, we introduced a new reasoning method based on quantifying linguistic domains, established a new fuzzy control algorithm, called hedge-algebras-based controller (HAC), and applied it to solve some fuzzy control problems. The HAC does not require fuzzy sets to provide the semantics of the linguistic terms used in the fuzzy rule system rather the semantics is obtained through the semantically quantifying mappings (SQMs). It was shown that the new method is very effective, i.e. for these problems it is always able to efficiently control the process toward the stable state. In the algebraic approach, the design of an HAC leads to the determination of the parameters of SQMs, which are the fuzziness measure of primary terms and linguistic hedges occurring in the fuzzy model, and the weights of a weighted averaging operator
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