Designing Mamdani Type Fuzzy Rule Using a Collaborative FCM Scheme

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

*Corresponding author for this work

Research output: Contribution to journalConference article

14 Scopus citations

Abstract

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.
Original languageEnglish
Pages (from-to)279-282
Journal2013 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY 2013)
DOIs
StatePublished - 2013
EventInternational Conference on Fuzzy Theory and Its Applications (iFUZZY) - Taipei, Taiwan
Duration: 6 Dec 20138 Dec 2013

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