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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8398

Title: Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
Authors: Falcón, Rafael
Abraham, Ajith
Issue Date: 2008
Publisher: ACM
Citation: Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications: vol. 3. p. 652-657.
Abstract: This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, the emphasis lies in determining the collaboration matrix between the data repositories. By using fitness functions both at the level of data and information granules, we can provide a more effective way of reconciling the findings between the participating data sites. A practical application of the proposed methodology to marketing research is presented.
URI: http://hdl.handle.net/1942/8398
DOI: 10.1109/ISDA.2008.71
ISI #: 000264423200119
ISBN: 978-0-7695-3382-7
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2010
Appears in Collections: Research publications

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