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.
|Journal||2013 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY 2013)|
|State||Published - 2013|
|Event||International Conference on Fuzzy Theory and Its Applications (iFUZZY) - Taipei, Taiwan|
Duration: 6 Dec 2013 → 8 Dec 2013
Lin, C-T., Prasad, M., & Chang, J-Y. (2013). Designing Mamdani Type Fuzzy Rule Using a Collaborative FCM Scheme. 2013 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY 2013), 279-282. https://doi.org/10.1109/iFuzzy.2013.6825450