@inproceedings{eaa7630fcf274c7393ca7fe4e0ae94e1,
title = "Design of T-S fuzzy classifier via linear matrix inequality approach",
abstract = "A linear matrix inequality approach to designing accurate classifier with a compact T-S(Takagi-Sugeno) fuzzy-rule is proposed, in which all the elements of the T-S fuzzy classifier design problem have been moved in parameters of a LMI optimization problem. Two-step procedure is used to effectively design the T-S fuzzy classifier with many tuning parameters: antecedent part and consequent part design. Then two LMI optimization problems are formulated in both parts and solved efficiently by using interior-point method. Iris data is used to evaluate the performance of the proposed approach. From the simulation results, the proposed approach showed superior performance over other approaches.",
author = "Kim, {Moon Hwan} and Park, {Jin Bae} and Joo, {Young Hoon} and Lee, {Ho Jae}",
year = "2006",
language = "English",
isbn = "9783540283126",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "406--415",
booktitle = "Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings",
address = "Germany",
note = "2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference date: 27-08-2005 Through 29-08-2005",
}