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Employing rough sets and association rule mining in KANSEI knowledge extraction

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References

1957The Measurement of Meaning9,430 cited
1997Affective Computing7,373 cited
1995Kansei Engineering: A new ergonomic consumer-oriented technology for product development1,476 cited
2002Kansei engineering as a powerful consumer-oriented technology for product development734 cited
2000A semantic differential study of designers’ and users’ product form perception399 cited
2004Concepts, methods and tools in Kansei engineering360 cited
2005A Kansei mining system for affective design220 cited
2001Perceptual factors underlying user preferences toward product form of mobile phones205 cited
2004A framework for affective customer needs in product design139 cited
2008Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis98 cited

Cited by

2021Combining rough set theory and support vector regression to the sustainable form design of hybrid electric vehicle73 cited
2016Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction71 cited
2018Affective design using machine learning: a survey and its prospect of conjoining big data68 cited

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