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This article introduces an approximation space for graded acceptance of proposed models for intelligent system design relative to design patterns that conform to a design standard. A fundamental problem in system design is that feature values extracted from experimental design models tend not to match exactly patterns associated with standard design models. It is not generally known how to measure the extent that a particular intelligent system design conforms to a standard design pattern. Thedoi:10.1016/j.engappai.2004.04.012 fatcat:fe2mru5x65csdn5gz3rtnno7rq