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The template similarity-based prediction is then fused with the output of support vector regression (SVR) using a designed knowledge rule.
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To resolve the incomplete, ambiguous, uncertain and subjective nature of innovative design knowledge, the product platform represented in a design knowledge hierarchy (DKH) is generated using general sorting.
In this paper, authors focus on the importance of one specific property of a design knowledge representation: the unambiguity.
In the design knowledge acquisition module, a knowledge acquisition technique called general sorting is utilised to establish a design knowledge hierarchy (DKH), in which design options can be generated.
However, the concept of linking a design knowledge base and inference engine requires the combining of ship design information with the KBE system.
From the investigation of arc-elasticity mathematical properties, a filtering algorithm of Pareto-efficient solutions is proposed and illustrated through a design knowledge modeling framework.
Chiang et al. (2006) put forward a comprehensive framework for designing knowledge representation.
A prototype PDCS is proposed, from a design knowledge-handling viewpoint, in this paper.
It contains a turntable case-base, a design knowledge-base, a CAD software and a graphic user interface.
This system consists of a commercial expert system shell, a design knowledge-base, and a commercial CAD system with an API program.
It comprises two phases, namely, product definition using the laddering technique and a novel design knowledge hierarchy (DKH), and product customisation using an integrated methodology of conjoint analysis (CA) and Kohonen association (KA) techniques.
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