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http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.6622&rep=rep1&type=pdf
DATA MINING AND FUZZY CLUSTERING TO SUPPORT PRODUCT FAMILY DESIGN Seung Ki Moon1, Soundar R.T. Kumara2, and Timothy W. Simpson3* Department of Industrial & Manufacturing Engineering The Pennsylvania State University, University …
https://www.semanticscholar.org/paper/Data-Mining-and-Fuzzy-Clustering-to-Support-Product-Moon-Kumara/c67d16b40a2b2c9f7507829dbdf25470f136a0c4
In mass customization, data mining can be used to extract valid, previously unknown, and easily interpretable information from large product databases in order to improve and optimize engineering design and manufacturing process decisions. A product family is a group of related products based on a product platform, facilitating mass customization by providing a variety of products for ...
https://www.researchgate.net/publication/242391142_Data_Mining_and_Fuzzy_Clustering_to_Support_Product_Family_Design
Moon et al. [26] used data mining and fuzzy clustering to identify a platform along with variant and unique modules to support a product family design. The above publications considered only a ...
https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings/IDETC-CIE2006/4255X/317/314709
Moon, Seung Ki, Kumara, Soundar R. T., and Simpson, Timothy W. "Data Mining and Fuzzy Clustering to Support Product Family Design." Proceedings of the ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.Cited by: 60
http://core.ac.uk/display/24630002
DETC2006/DAC-99287 DATA MINING AND FUZZY CLUSTERING TO SUPPORT PRODUCT FAMILY DESIGN . By Seung Ki Moon, ... In this paper, we propose a method for identifying a platform along with variant and unique modules in a product family using data mining techniques. Association rule mining is applied to develop rules related to design knowledge based ...
https://core.ac.uk/display/20907249
DETC2006-99287 DATA MINING AND FUZZY CLUSTERING TO SUPPORT PRODUCT FAMILY DESIGN . ... Fuzzy c-means clustering is used to determine initial clusters that represent modules. The clustering result identifies the platform and its modules by a platform level membership function and classification. We apply the proposed method to determine a new ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.6434
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In mass customization, data mining can be used to extract valid, previously unknown, and easily interpretable information from large product databases in order to improve and optimize engineering design and manufacturing process decisions. A product family is a group of related products based on a product platform ...
https://www.sciencedirect.com/science/article/pii/S0898122110001574
Moon et al. used data mining and fuzzy clustering to identify a platform along with variant and unique modules to support a product family design. The above publications considered only a single criterion (attribute). The aim of these techniques was to assign parts and machines into cells such that their commonality in the cell is high.Cited by: 5
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.6622
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In mass customization, data mining can be used to extract valid, previously unknown, and easily interpretable information from large product databases in order to improve and optimize engineering design and manufacturing process decisions. A product family is a group of related products based on a product platform ...
https://asmedigitalcollection.asme.org/ebooks/book/170/chapter/34401/The-Study-of-Fuzzy-Clustering-Algorithm
Fuzzy C-means (FCM) clustering algorithm is a typical representative of the fuzzy clustering methods which are based on the objective functions in clustering algorithms. So far, a lot of literatures still have been studying the fuzzy clustering algorithms which are based on the objective functions.
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