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- W4225522887 abstract "To transform the maintenance requirements into the description of product affordance characteristics is one of crucial steps in the affordance-based design. Motivated by the impetus for user’s accurate judgment to the affordance preference and maintenance requirements, this paper presents affordance characteristics identification method on maintenance requirements satisfactory prediction. The approach defines an affordance fuzzy preference graph (AFPG) to represent the affordance preference fuzzy interrelationships. Meanwhile, affordance maintenance matrix (AMM), an information exchange mechanism, is developed to exploit the coupled relationships between maintenance requirements and affordance characteristics. And then the general regression neural network (GRNN) is applied to predict maintenance requirements satisfactory degree. Based upon the AFPG, AMM and GRNN, the criterion affordance preference degree and maintenance requirements satisfactory degree function are constructed. The original SPEA2 algorithm is improved with gradient descent operator, which is used to solve the problems in multi-objective optimization. Finally, the given approach is applied in a conceptual design case of a machining center with its maintenance requirements. The proposed identification method could be an effective development in the affordance-based design." @default.
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- W4225522887 date "2022-01-01" @default.
- W4225522887 modified "2023-09-23" @default.
- W4225522887 title "Affordance Characteristics Identification Method on Maintenance Requirements Satisfactory Prediction" @default.
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- W4225522887 doi "https://doi.org/10.1007/978-981-16-7381-8_11" @default.
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