Integrating data mining and rough set for customer group-based discovery of product configuration rules

DOI10.1080/00207540600675777zbMath1128.90437OpenAlexW2007117621MaRDI QIDQ5444417

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Publication date: 25 February 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540600675777

zbMATH Keywords

data miningfuzzy clusteringassociation rulerough setconfiguration designcustomer grouping

Mathematics Subject Classification ID

Production models (90B30) Computing methodologies and applications (68U99)

Related Items (3)

Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family ⋮ Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production ⋮ Synergies of operations research and data mining

Cites Work

• Variable precision rough set model
• A model and algorithm of fuzzy product positioning
• Data mining in an engineering design environment: OR applications from graph matching
• Data-mining-based methodology for the design of product families
• Fuzzy mapping of functions onto features in detail design

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