5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08) , 2008-10-18

Title : ( A New Approach For TSK-type Fuzzy Model Design )

Authors: Babak Rezaee Khabooshan ,

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In this paper a new fuzzy modeling approach is proposed, which is devoted to discover knowledge from data and represent it in the form of fuzzy rules. In this approach, the structure identification and parameter optimization are carried out automatically without any assumption about the structure of the data, which is capable of finding the optimal number of the rules with an acceptable accuracy. The proposed fuzzy modeling approach has three significant modules: (1) generate initial rule-base, (2) Construct a new rule and add to rule-base, (3) tune rule-base. The proposed approach has been successfully applied to benchmark data sets. The results show the superiority of the model in comparison with the other fuzzy models in terms of error reduction and simplicity.

Keywords

, Fuzzy modeling; TSK, type Fuzzy
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@inproceedings{paperid:1035839,
author = {Rezaee Khabooshan, Babak},
title = {A New Approach For TSK-type Fuzzy Model Design},
booktitle = {5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08)},
year = {2008},
location = {Jinan},
keywords = {Fuzzy modeling; TSK-type Fuzzy Model},
}

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%0 Conference Proceedings
%T A New Approach For TSK-type Fuzzy Model Design
%A Rezaee Khabooshan, Babak
%J 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08)
%D 2008

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