Designing Mamdani Type Fuzzy Rule Using a Collaborative FCM Scheme

Chin-Teng Lin*, Mukesh Prasad, Jyh-Yeong Chang

*Corresponding author for this work

研究成果: Conference article

14 引文 斯高帕斯(Scopus)

摘要

This paper presents a new approach for generating fuzzy rules for fuzzy inference system by using collaborative fuzzy c-mean (CFCM). In order to do any mode of integration between datasets, there is a need to define the common feature between datasets by using some kind of collaborative process and also need to preserve the privacy and security at higher levels. This collaboration process gives a common structure between datasets which helps to define an appropriate number of rules for structural learning and also improve the accuracy of the system modeling. This all consideration bring the concept of collaborative fuzzy rule generation process with a quality measuring.
原文English
頁(從 - 到)279-282
期刊2013 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY 2013)
DOIs
出版狀態Published - 2013
事件International Conference on Fuzzy Theory and Its Applications (iFUZZY) - Taipei, Taiwan
持續時間: 6 十二月 20138 十二月 2013

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